Engineering Program Manager

Technical Program ManagerAs 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 accountability across product, engineering, security, compliance, customer experience, and go-to-market stakeholders.