Cyberhaven

HQ
San Jose
Total Offices: 3
237 Total Employees
Year Founded: 2016

Teams at Cyberhaven

Recently posted jobs

5 Days AgoSaved
In-Office or Remote
11 Locations
Artificial Intelligence • Information Technology • Machine Learning • Software • Cybersecurity • Generative AI • Data Privacy
Lead Cyberhaven’s integration ecosystem strategy and roadmap, including connectors, APIs, data sharing, and marketplace partnerships. Evaluate build-versus-partner decisions, guide technical discovery with partner engineering teams, and program-manage integrations from scoping through launch, certification, documentation, enablement, and adoption. Define measurable customer and business outcomes, coordinate sales, customer experience, and marketing readiness, and ensure integrations deliver revenue growth, broader coverage, and faster customer value.
16 Days AgoSaved
In-Office or Remote
17 Locations
Artificial Intelligence • Information Technology • Machine Learning • Software • Cybersecurity • Generative AI • Data Privacy
Lead and grow Cyberhaven’s Technical Account Management team, establishing operating models, coverage strategies, metrics, playbooks, and customer engagement processes. Oversee technical customer outcomes from onboarding through renewal, manage escalations, support adoption and deployment, and contribute to renewals and expansions. Partner with Product, Engineering, Support, Customer Experience, and Sales to communicate customer feedback, improve diagnostics, conduct root-cause reviews, and strengthen security SaaS customer success.
One Month AgoSaved
In-Office or Remote
9 Locations
Artificial Intelligence • Information Technology • Machine Learning • Software • Cybersecurity • Generative AI • Data Privacy
Provide technical support for Cyberhaven’s data security and endpoint DLP platform. Troubleshoot customer issues, identify root causes, reproduce and document bugs, escalate high-priority incidents, and collaborate with engineering teams. Guide customers on platform usage, understand their data security risks, maintain support documentation, meet SLA expectations, and contribute to support processes, reporting, and customer satisfaction metrics.