Cisco ThousandEyes

HQ
San Francisco, California, USA
Total Offices: 3
1,100 Total Employees
Year Founded: 2010

Cisco ThousandEyes Company Culture

ThousandEyes delivers visibility into digital experiences across the internet, helping companies see how their customers and employees connect with critical apps and services. After being acquired by Cisco in 2020, its capabilities are stronger than ever. “Now that we’re part of Cisco, it’s amazing to see the scale at which we are operating,” VP of Engineering Murtaza Doctor said. “We have a seat at the table with enterprise customers and are helping them every step of the way on their digital journeys.” By setting clear goals and expectations, creating a culture of open communication and providing opportunities for development, both employees and clients feel aligned, valued and heard.

At a glance

DAYS FOR YOU

Throughout the year, the entire company takes days off to pause, unplug, walk away from screens and interrupt day-to-day demands.

TIME2GIVE BACK

Time2Give encourages community service. Regular Cisco employees can take up to 10 paid days per year dedicated to giving back.

SUPERHEROES WELCOME

All new employees pick a superhero alter ego to encourage unleashing their full potential from day one.

GET RECOGNITION

Through the Connected Cisco recognition program, employees are empowered to nominate colleagues for gift awards and congratulations.
Cloud • Software
Engage with customers to provide enablement, implementation, and optimization services for ThousandEyes. Responsibilities include guiding deployments, delivering training, and identifying upsell opportunities while maintaining FedRAMP compliance.
3 Days AgoSaved
Hybrid
3 Locations
Cloud • Software
The Head of Product Design at Cisco ThousandEyes will manage a design team, oversee design projects, and improve data visualization for user experience.
14 Days AgoSaved
Remote or Hybrid
9 Locations
Cloud • Software
Lead product strategy for AI/ML features on ThousandEyes, translate customer needs into model-driven capabilities, collaborate with engineering and research, design AI-first UX, make product trade-offs, and operationalize experiments at scale.