# Technical Program Manager

**Company**: Cisco
**Location**: Milpitas, California
**Experience**: senior
**Job type**: full-time
**Salary**: $194,600.00 - $285,700.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Milpitas-California-US/Engineering-Program-Manager_2029192?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7735685b-c36

## Description

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

The starting salary range posted for this position is $194,600.00 to $285,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

## Skills

### Required
- cloud platforms
- APIs
- distributed systems
- data systems
- modern AI development and deployment practices
- generative AI
- LLM-based
- agentic capability

### Nice to have
- cloud-native architecture
- API integrations
- data platforms
- AI evaluations
- security
- reliability
- customer-facing production launches
- agent orchestration
- tool use
- retrieval-augmented generation (RAG)
- evaluation frameworks
- guardrails
- observability
- human-in-the-loop workflows

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Milpitas-California-US/Engineering-Program-Manager_2029192?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)