# Engineering Program Manager at Cisco

Cisco is hiring an Engineering Program Manager. It pays $195k-$286k a year and Level rates it Little AI ●○○○; you can [apply on Cisco](https://jobsbylevel.com/go/71c97bfc-90e0-42d1-890c-ccc48f5c97b8?utm_medium=ai-agent).

AI Level 1, AI centrality 13 out of 100. Milpitas, California, US.

## Details

- Company: [Cisco](https://jobsbylevel.com/companies/cisco)
- AI level: AI Level 1 (score 13 out of 100)
- Location: Milpitas, California, US
- Salary: $195k-$286k
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/71c97bfc-90e0-42d1-890c-ccc48f5c97b8?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=engineering-program-manager-at-cisco-2b0222

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/engineering-program-manager-at-cisco-2b0222

## Description

The application window is expected to close on: 11/03/2026 Meet the Team Cisco is building a unified, AI-native management platform that brings together Networking, Security, Observability, and Collaboration into a single, coherent platform experience. AI Canvas is Cisco’s generative, collaborative workspace within this platform. It combines AI agents, real-time telemetry, and dynamic interfaces so teams can troubleshoot, decide, and act together. You’ll join a highly motivated platform team partnering across Cisco to deliver enterprise-grade AI capabilities that are reliable, secure, and built for real-world adoption. We ship iteratively, measure outcomes, and obsess over customer and partner time-to-value, collaborating daily across Engineering, Design, Data/AI, Security, and Go-to-Market teams. Your Impact As a Technical Program Manager, you will own end-to-end execution of AI Canvas programs across multiple engineering teams, including platform architecture, agent frameworks, UX, data systems, security, and integrations across Cisco’s wider portfolio. You will work as a peer to senior engineering and product leaders with the autonomy to shape how the program runs: · Apply deep technical program management expertise to drive delivery of large, cross-functional AI Canvas releases from roadmap through GA and post-launch stabilization. · Translate product and technical strategy into clear execution plans, milestones, interdependency tracking, success metrics, and ownership across teams. · Lead agentic AI programs from use-case definition through production and iteration, coordinating agent workflows, model and tool integration, grounding, evaluations, guardrails, and human oversight. · Establish evaluation-driven delivery practices so that AI quality, safety, latency, cost, and reliability are measured before launch and monitored in production. · Manage large programs with moderate to high risk and multiple interdependencies, bringing structure to ambiguous, fast-moving initiatives to drive timely decisions. · Communicate program status, technical trade-offs, architecture dependencies, and critical-path risks to executive leadership with clear recommendations. · Partner with engineering, quality, and security teams to define validation, release, observability, and operational-readiness requirements. Minimum Qualifications · Bachelor’s degree with 12+ years of related experience, Master’s degree with 8+ years of related experience, or PhD with 5+ years of related experience, or equivalent related work experience. · Experience leading complex technical programs for enterprise SaaS products through production launch and ongoing operation. · Experience directly leading at least one generative AI, LLM-based, or agentic capability through development, production launch, and post-launch iteration. · Previous experience leading cross-functional technical programs across a highly matrixed engineering organization. · Technical fluency in cloud platforms, APIs, distributed systems, data systems, and modern AI development and deployment practices. Preferred Qualifications · Experience leading multi-team SaaS or AI programs involving cloud-native architecture, API integrations, data platforms, AI evaluations, security, reliability, and customer-facing production launches. · Experience with generative AI and agentic systems, including agent orchestration, tool use, retrieval-augmented generation (RAG), evaluation frameworks, guardrails, observability, and human-in-the-loop workflows. · Ability to understand system architecture, identify cross-platform dependencies, facilitate engineering trade-offs, and translate complex technical risks and decisions for executive audiences. · Experience applying fit-for-purpose development and execution practices, including Agile methodologies, to improve planning, decision-making, delivery, and team learning. · Strong ability to bring structure to ambiguous initiatives, drive timely decisions, and create

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/engineering-program-manager-at-cisco-2b0222

Source: https://jobsbylevel.com/jobs/engineering-program-manager-at-cisco-2b0222

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