Lead complex customer technical investigations involving cloud services, networks, logs, monitoring data, and application behavior. Coordinate escalations with Engineering and Product, document findings, recommend fixes, and drive issues through resolution. Develop automation and reusable documentation, mentor engineers, participate in product reviews, and support customers through scheduled 24-hour coverage.
Meet the Team
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences.
ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios.
The Customer Engineering team helps customers diagnose service problems, use ThousandEyes effectively, and improve digital experience reliability. We work across Support, Engineering, Product, and customer teams, so our findings can improve both individual outcomes and the product itself. The team is collaborative, technically curious, and energized by solving new problems.
Your Impact
Lead complex, high-impact customer investigations through chat, email, phone, and scheduled 24-hour support coverage so customers can restore service quickly. Use logs, tests, network data, and product behavior to identify likely causes when information is incomplete. Coordinate escalations with Engineering and Product, providing clear evidence and recommended next steps to drive timely fixes. Create scripts, automation, and reusable documentation to reduce repeated work and improve resolution consistency. Mentor engineers and represent Customer Engineering in product reviews and customer meetings to improve support quality and product usability.
Minimum Qualifications
Preferred Qualifications
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.
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences.
ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios.
The Customer Engineering team helps customers diagnose service problems, use ThousandEyes effectively, and improve digital experience reliability. We work across Support, Engineering, Product, and customer teams, so our findings can improve both individual outcomes and the product itself. The team is collaborative, technically curious, and energized by solving new problems.
Your Impact
Lead complex, high-impact customer investigations through chat, email, phone, and scheduled 24-hour support coverage so customers can restore service quickly. Use logs, tests, network data, and product behavior to identify likely causes when information is incomplete. Coordinate escalations with Engineering and Product, providing clear evidence and recommended next steps to drive timely fixes. Create scripts, automation, and reusable documentation to reduce repeated work and improve resolution consistency. Mentor engineers and represent Customer Engineering in product reviews and customer meetings to improve support quality and product usability.
Minimum Qualifications
- Bachelor's degree and 12 years experience in computer science, engineering, information technology, or a related technical field; Masters and 8 years related technical experience; PhD and 5 years of related technical experience
- 5+ years of experience in technical support, network engineering, customer engineering, or site reliability.
- 3+ years of experience troubleshooting cloud services, software-as-a-service products, internet services, or enterprise applications using logs, monitoring data, network traces, or test environments.
- 2+ years of experience independently leading investigations of customer technical issues, including documenting findings, escalating issues in writing, and driving issues through resolution or documented handoff.
- Experience troubleshooting at least three of the following: Domain Name System, web traffic using HTTP or HTTPS, Transmission Control Protocol/Internet Protocol, routing, proxy servers, authentication, or single sign-on.
Preferred Qualifications
- Experience supporting a cloud-based monitoring, network, or digital experience product.
- Experience writing automation scripts in Python, Java, or a comparable language, and using application programming interfaces to automate workflows.
- Experience administering Linux systems and using containers or virtual machines.
- Cisco CCIE certification or another advanced networking or cloud certification.
- Experience writing customer-facing technical documentation and mentoring engineers across teams.
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.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
