Build and evolve a core SaaS management console, create real-time data visualizations, and deliver frontend features end to end, including backend APIs, testing, deployment, and production monitoring.
Cyberhaven jobs
Cyberhaven combines DLP, DSPM, insider risk, and AI security, with data lineage for files and AI prompts.
30 open roles at Cyberhaven
Lead enterprise pre-sales engagements by demonstrating security solutions, owning technical evaluations and proofs of concept, enabling channel partners, and sharing field feedback with Product and Engineering.
Own the end-to-end enterprise sales process across an assigned territory, building pipeline and partner relationships while closing cybersecurity deals and growing existing customer accounts.
Leads and scales the Americas Data Protection Analyst team, overseeing customer incident investigations, endpoint forensics, response workflows, and reporting while improving how customers use data security tools to reduce data loss.
Design and operate scalable distributed backend systems and high-throughput data pipelines, owning critical services end to end and shaping architecture, reliability, performance, and platform direction.
Own and scale technical enablement for customer-facing technical teams through onboarding, training, certifications, hands-on labs, and coaching that strengthens technical execution across the sales cycle.
Lead enterprise pre-sales engagements for data security solutions, delivering platform demonstrations and proofs of concept while advising customers on securing AI adoption and guiding evaluations to successful outcomes.
Own the end-to-end enterprise sales process for cybersecurity prospects and customers, building pipeline, developing partner relationships, and closing new, upsell, and cross-sell opportunities.
Implement and integrate endpoint security solutions for clients, troubleshoot complex technical issues, develop tailored data and policy configurations, and provide training and guidance to maximize product value.
Design and build scalable, fault-tolerant cloud security software that protects enterprise data across cloud, SaaS, and AI-agent environments, while shaping architecture and solving distributed-systems challenges.
Build scalable backend systems and security capabilities that protect enterprise data across cloud, SaaS, and AI-agent environments, while shaping technical architecture and solving distributed-systems challenges.
Own customer technical outcomes for a data security platform, guiding deployment, integrations, adoption, and account health while troubleshooting complex issues and coordinating escalations with Engineering.
Build early-stage sales pipeline by researching target accounts, engaging prospects through personalized outreach, qualifying leads, and partnering with Sales and Marketing to refine messaging and campaigns.
Lead product design for a unified data security platform, setting the experience vision for human-and-agent workflows while developing a design team and shaping research, systems, and product decisions.
Build and evolve Go-based backend systems and AI security capabilities, protecting sensitive data across LLMs and enterprise applications while solving large-scale distributed systems challenges.
Partner with engineering leadership to turn strategic priorities into execution plans, run operating reviews and planning, coordinate cross-functional programs, and build data- and AI-driven systems for visibility and follow-through.
Own organization-wide planning and execution for complex engineering programs, shaping release predictability, executive operating reviews, delivery metrics, and AI-enabled reporting across teams.
Analyze data security incidents and endpoint forensics, refine detection policies, and help customers operationalize data protection through incident response workflows, risk analysis, and clear reporting.
Analyze data-protection events and insider-threat signals, investigate security incidents, refine detection policies, and help customers build incident-response workflows that reduce data-loss risk.
Analyze data security events and endpoint forensic incidents, refine DLP policies and detection, and help customers identify insider threats and reduce data loss risk.
Own the end-to-end sales process for mid-market prospects and customers, building pipeline, developing account and partner relationships, and closing cybersecurity software deals.
Own and evolve an endpoint network proxy, intercepting and applying real-time policies to network traffic while building low-level data collectors and secure, high-performance systems software.
Design and optimize Go backend systems that process large graph datasets and billions of events in real time, shaping scalable security products and solving distributed performance challenges.
Own the end-to-end sales process for mid-market prospects and customers, building pipeline, developing account and partner relationships, and closing cybersecurity software deals.
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