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Cyberhaven

AI-driven data lineage for insider risk

Manager – Data Protection Analysts

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeRemote in USA$150k - $170k /yrRemote

About the Job

Requirements

  • At least 7 years of experience working with data protection products, including at least 2 years leading or managing technical teams such as security analysts, consultants, or managed services.
  • A proven track record of hiring, developing, and retaining high-performing technical talent, and scaling a team through growth.
  • Deep expertise in data loss prevention (DLP), Insider Threat, and cloud access security broker (CASB) solutions, with familiarity with security information and event management (SIEM) and security orchestration, automation, and response (SOAR) integrations.
  • Experience advising on security issues affecting data protection and insider risk, including accidental and malicious threats.
  • A strong understanding of endpoint protection best practices and macOS, Linux, and Windows environments.
  • Knowledge of security controls for handling sensitive data types.
  • Experience overseeing technical analysis, documentation, and project management for incident response involving data security issues.
  • Familiarity with cloud applications and services.
  • Familiarity with artificial intelligence tools such as Claude and Codex, and with building and developing agents.
  • Experience operating in a software-as-a-service (SaaS), services, or managed-services delivery model, including managing priorities across multiple customers.
  • Strong problem-solving and analytical abilities, with creative and logical thinking.
  • Customer-centric approach, motivation, empathy, and focus.
  • Strong written and verbal communication skills, including creating and delivering management-level presentations and analysis of incident investigations.
  • Ability to collaborate effectively in a global, cross-functional team.

Responsibilities

  • Lead, coach, and develop a team of Data Protection Analysts in the Americas by setting clear goals, providing regular feedback, and building career paths.
  • Recruit, hire, and onboard analysts, and build the team structure, processes, and capacity plans needed to scale with customer growth.
  • Own the quality, consistency, and timeliness of the team’s work across customer engagements, including incident analysis, policy and dataset tuning, forensic investigations, and executive reporting.
  • Establish and maintain playbooks, templates, and best practices for incident investigation, noise and false-positive reduction, and incident-response workflows.
  • Define and track team key performance indicators, such as response times, customer satisfaction, and risk-reduction outcomes, and report them to leadership.
  • Serve as an escalation point for complex investigations and as a trusted advisor to customer security leaders, including chief information security officers, security operations center managers, and insider risk teams.
  • Partner with clients to develop incident-response workflows aligned with their security objectives and policies, and guide the team as customers’ data-risk strategies mature.
  • Present formal summaries, trend analyses, and realized-value readouts to technical and non-technical audiences, including executives.
  • Monitor external data loss prevention, Insider Risk, and CASB market trends, and use those insights to shape team strategy and demonstrate customer value.
  • Collaborate with Product and Development teams to relay customer and analyst feedback, drive requirements, and develop strategies for monitoring and preventing data loss.
  • Work with Sales, Customer Success, and Support to ensure smooth handoffs and consistent customer experiences.
  • Work with service leaders in other regions to align methodologies, share learnings, and operate as one global team.

About the Company

Cyberhaven

AI-driven data lineage for insider risk

Cyberhaven protects businesses from insider threats to data using AI-enabled security that tracks how data flows inside an organization. It relies on data lineage to map where data originates, where it is stored, and how it moves, so it can prevent data exfiltration anywhere in the company. The product also speeds up internal investigations by providing a complete record of events before and during an incident, helping teams understand what happened and user intent. A key feature is real-time detection of risky behavior where the system can stop a user handling important data in the moment and offer coaching to reduce future risk. The platform combines data loss prevention, insider risk management, and cloud data security in a single experience, typically offered via a subscription model. The goal is to protect sensitive data, prevent unauthorized transfers, enable faster incident understanding, and improve ongoing data security across an organization.

Company size
201-500
Company stage
Series D
Total funding
$236M
Headquarters
San Jose, CA
Founded
2015

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