Senior Engineering Program Manager - Technical Program Management | Cloud & Distributed Systems| JIRA | Confluence | Scrum | 8-12 Years
Meet the Team
Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform and core services at Webex. The platform and microservice ecosystem form the base on which other teams build analytics, data pipelines, and product capabilities.
We are looking for an Engineering Program Manager, who will lead technical program management for our platform and engineering teams. You will own program and project delivery, strengthen engineering processes, and champion AI adoption—working closely with engineering, product, and leadership to deliver high-impact outcomes on time with quality and within scope. You will bring structure to ambiguity, clarity to complexity, and ensure our distributed teams operate efficiently and effectively.
Your Impact
- 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.
Minimum Qualifications
- 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.
Why Cisco?
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.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
- be in direct response to an application you have submitted through the company career site
- begin with screening or an interview
- originate from a Cisco email address, and
- be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
Skills Required
- At least 10 years of software engineering experience
- At least 4 years of engineering technical program management experience
- Experience delivering large-scale, multi-team programs in microservice or data-heavy environments
- Experience with microservice architecture, cloud-native development, data platforms, and distributed systems
- Experience overseeing data pipelines, warehouses or lakes, streaming, and analytics or ML infrastructure
- Experience defining and rolling out Agile/Scrum, design review, CI/CD, and SRE processes
- Experience driving AI/ML adoption
- Proficiency with OKRs, KPIs, and roadmaps
- Proficiency with Jira and Confluence
- Ability to translate business and product requirements into technical specifications and engineering roadmaps
- Experience in regulated or high-availability domains such as fintech, healthcare, or enterprise SaaS
- Familiarity with Spark, Kafka, dbt, Snowflake or Databricks, ML platforms, and DORA-style metrics
- Experience managing programs with budgets exceeding $1 million
- Familiarity with AI productivity and adoption tools such as Copilot, Cursor, or Codex
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
-
Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
-
Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
-
Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
