Cyberhaven

HQ
San Jose
Total Offices: 4
237 Total Employees
125 Product + Tech Employees
Year Founded: 2016

Teams at Cyberhaven

Recently posted jobs

2 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.
4 Days AgoSaved
In-Office or Remote
Atlanta, GA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software • Cybersecurity • Generative AI • Data Privacy
Own the full enterprise sales cycle across the Southeast territory, from prospecting and qualification through negotiation and closing. Build pipeline, develop customer and partner relationships, drive upsell and cross-sell opportunities, and exceed software and services growth targets. The role requires selling cybersecurity software, articulating technical solutions, managing large enterprise deals, and building a local market presence. Candidates must be based in the greater Atlanta area and have substantial enterprise cybersecurity sales experience.
9 Days AgoSaved
Hybrid
Bangalore, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Information Technology • Machine Learning • Software • Cybersecurity • Generative AI • Data Privacy
Design and implement scalable, fault-tolerant security solutions protecting enterprise data across clouds, SaaS applications, and AI agents. Build controls for agent access to sensitive data, develop APIs and microservices, integrate large-scale third-party data sources, optimize distributed systems, and troubleshoot performance issues. The role requires secure-by-design software development, cloud expertise, Kubernetes and database familiarity, and collaboration across distributed international teams.