Senior Engineering Program Manager - Technical Program Management | Cloud & Distributed Systems| JIRA | Confluence | Scrum | 8-12 Years
Cisco · Posted Oct 20
Networking, cloud, cybersecurity, and enterprise IT infrastructure services
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About the role
The Webex Data Analytics Platform (WAP) engineering organization develops the big data platform and core services at Webex, where the platform and microservice ecosystem form the base on which other teams build analytics, data pipelines, and product capabilities. The role leads technical program management for the platform and engineering teams, owning program and project delivery, strengthening engineering processes, and championing AI adoption. It works closely with engineering, product, and leadership across microservice architecture, data platform, and engineering excellence initiatives.
What you will do
- Lead end-to-end program and project delivery for complex, cross-functional initiatives spanning microservice architecture, data platform, and engineering excellence.
- Define roadmaps, scope, objectives, success criteria, and key milestones in collaboration with engineering and product leadership.
- Establish and improve engineering processes (design reviews, code quality, testing, CI/CD, incident response) and track KPIs for program health and delivery.
- Champion AI adoption and build high-performing engineering teams; identify use cases, prioritize initiatives, and foster a culture of continuous improvement.
Skills used in this role
What the employer is looking for
- At least 10+ years of experience in software engineering, with 4+ years in engineering technical program management.
- Strong track record of delivering large-scale, multi-team programs in microservice and/or data-heavy environments; deep experience with microservice architecture, cloud-native development, data platform and distributed systems.
- Strong oversight experience with data platforms: data pipelines, warehouses/lakes, streaming, and analytics/ML infrastructure.
- Experience defining and rolling out engineering processes (Agile/Scrum, design reviews, CI/CD, SRE practices) and driving AI/ML adoption; proficiency with OKRs, KPIs, and roadmaps.
- Proficiency with program management tools such as Jira, Confluence
Preferred qualifications
- Ability to translate business and product requirements into technical specifications and actionable engineering roadmaps.
- Experience in regulated or high-availability domains (e.g., fintech, healthcare, enterprise SaaS).
- Familiarity with modern data stack (e.g., Spark, Kafka, dbt, Snowflake/Databricks), ML platforms, and DORA-style metrics.
- Proven ability to manage programs with budgets exceeding $1M+.
- Familiarity using AI tools (e.g., Copilot, Cursor, Codex) for productivity and team adoption.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Cisco
Cisco Systems, Inc. is a worldwide leader in IT, networking, and cybersecurity solutions that transform how people connect, communicate, and collaborate. The company specializes in routing, switching, data center infrastructure, and software-defined networking designed for enterprises of all sizes. Today, Cisco drives major advancements in AI infrastructure, observability, and secure hybrid work platforms.
- Industry
- Networking
- Company size
- 90000+ employees
- Founded
- 1984
- Location
- San Jose, California, USA
- Funding stage
- Public Company
Leadership
Chair and Chief Executive Officer
President and Chief Product Officer
Executive Vice President and Chief Financial Officer
Executive Vice President and Chief People, Policy & Purpose Officer
Executive Vice President and Chief Customer Experience Officer
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