Engineering Project Manager

The application window is expected to close on: 10/14/2026

Join Cisco's AI Platform Group to accelerate the delivery of groundbreaking generative AI and cloud-native SaaS solutions. Our team drives Cloud Control—Cisco's top-priority enterprise platform integrating our networking, security, and observability portfolio with modern AI. We operate with startup agility, high autonomy, and dedicated senior mentorship, building an AI-native engineering culture that scales globally. In this role, you will partner directly with engineering leaders, product managers, and applied AI researchers to turn ambitious roadmaps into reliable production systems.

Own the day-to-day delivery of defined cloud-native SaaS and generative AI work streams from initial technical planning through production launch. Translate product requirements and architectural plans into clear work breakdown structures, milestones, dependencies, and delivery commitments. Coordinate cross-functional contributors across Product Management, Core Software Engineering, Applied AI/ML, Data Platforms, Infrastructure, and Security. Proactively track critical paths, surface delivery risks early, resolve routine operational blockers, and elevate architectural or resourcing trade-offs with clear context.

Support release readiness, testing, deployment validation, and operational handoffs, tracking reliability and monitoring requirements alongside engineering teams. Foster strong execution hygiene by applying fit-for-purpose Agile practices, facilitating sprint rituals, and contributing to shared delivery templates.

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field, plus 2+ years of experience in technical program management, software delivery, or software engineering (or Master's degree with 1+ years).
• Applied experience coordinating cross-functional software, cloud SaaS, data, or AI projects through a production release or major milestone.
• Demonstrated ability to build project schedules, track dependencies, manage critical paths, and resolve operational blockers using Jira or equivalent tooling.
• Foundational understanding of modern software development life cycles, Agile practices, cloud services, and APIs to collaborate effectively with technical teams.

• Experience supporting enterprise SaaS platforms or cloud-native microservices environments.
• Familiarity with Generative AI concepts, LLM integration, agentic workflows, RAG pipelines, or AI evaluation harnesses.
• Educational background from a top-tier engineering institution or demonstrated AI internship / capstone project experience.
• Experience supporting API integrations, data platform pipelines, security compliance, or operational readiness reviews.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.

Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:
The starting salary range…