Software Engineering Manager - Generative AI & Enterprise Platforms

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Hewlett Packard Enterprise seeks a Software Engineering Manager to lead a multidisciplinary team building secure, scalable enterprise products powered by Generative AI and large language models. You will drive delivery ownership, technical direction, and organizational influence across AI platforms, frontend experiences, AWS cloud, and quality engineering.

You will mentor engineers, foster an inclusive, high-accountability culture, align execution with product strategy, and guide rapid

Qualifications

• 15+ years of relevant industry experience.
• 5+ years of people management.
• Advanced degree in CS/ML/AI.
• Experience leading distributed teams.

Responsibilities

• Lead an inclusive, accountable multidisciplinary engineering team.
• Translate customer and product needs into roadmaps, staffing plans and milestones.
• Enable rapid feedback, disciplined prioritization and risk management.
• Support fast experimentation and transition ideas into production.
• Guide architecture and establish quality, security and testing standards.
• Coordinate stakeholders across onshore and offshore teams.

Skills

Multidisciplinary engineering leader

Distributed leadership

GenAI & Frontend

Cloud & Networking

Quality Engineering

Product Delivery

Stakeholder leadership

Responsible AI & quality

Education

Advanced degree in CS/ML/AI

Tools

AWS

Kubernetes

Infrastructure automation

Observability

CI/CD

Networking

Job description

Software Engineering Manager - Generative AI & Enterprise Platforms

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.

Job Description:

Job Family Definition:

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.

Management Level Definition:

Applies advanced subject matter knowledge to manage staff activities in solving common and complex business/technical issues within established policies. Manages exempt individual contributors and/or supervisors. Has accountability for results of a major program in terms of cost, direction and people management. Provides guidance on process improvements and recommends changes in alignment with business tactics and strategy for area of responsibility. Plans, manages and monitors operational/tactical activities of Staff. Staff members' work may involve strategic issues. Recruits and supports development of direct staff members. Typically reports to MG2 or Director.

Additional guidance/criteria: Manages and controls activities within a single country or a sub-region which is part of a larger geographical Region; Manages at least 4 employees and typically between 8 and 15 direct reports. Span of Control guidelines may differ from these numbers.

We are seeking a Software Engineering Manager to lead a multidisciplinary team building secure, scalable enterprise products powered by Generative AI and large language models. The team includes principal and senior engineers across AI platforms, model customization, React-based generative user experiences, AWS cloud and networking, and quality engineering. This role combines people leadership, delivery ownership, technical judgment, and organizational influence. The successful candidate will develop engineers, establish an inclusive and high-accountability culture, align execution with product strategy, and guide rapid experimentation through production-scale delivery.

Responsibilities:

• People and organizational leadership: Build, coach, retain, and grow an inclusive, accountable multidisciplinary engineering team with clear ownership and succession planning.
• Requirements and delivery management: Translate customer and product needs into clear outcomes, roadmaps, staffing plans, milestones, dependencies, acceptance criteria, and incremental releases.
• Agile execution and adaptability: Enable rapid feedback, disciplined prioritization, risk management, transparent reporting, and effective re-planning as requirements and priorities evolve.
• Innovation and productization: Support fast experimentation and proofs of concept, then transition validated ideas into secure, maintainable, production-ready products.
• Technical direction and engineering standards: 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.
• Quality, security, and operational excellence: Ensure strong AI and software validation, governance, privacy, service reliability, incident management, resilience, capacity planning, and continuous improvement.
• Stakeholder and distributed-team alignment: Coordinate product, engineering, security, business, onshore, and offshore leaders through clear decisions, handoffs, communication rhythms, shared metrics, and end-to-end accountability.
• Business and cross-team impact: Align engineering investment and costs with customer value, drive reusable platform capabilities, manage dependencies, and influence broader engineering strategy.

Education and Experience Required:

• Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline
• 15+ years of relevant industry experience , 5+ years' people management

Knowledge and Skills:

• 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

What We Can Offer You:

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico

#networking

Job:

Engineering

Job Level:

Manager_1

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.