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Vectra

AI-driven network detection and response platform

Senior Security Researcher

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Approximately 5 or more years in security research, detection engineering, incident response, threat hunting, red teaming, or a related field, with evidence of independently led technical investigations.
  • Strong understanding of attacker behavior and enterprise identity, including authentication, permissions, tokens, service principals, or workload identities.
  • Hands-on experience investigating security activity in at least one major cloud platform and the ability to reason across cloud, identity, and network evidence.
  • Ability to build repeatable labs or simulations, analyze logs and telemetry, and turn findings into detection requirements or coverage tests.
  • Programming or scripting ability, such as Python, for research, data analysis, or test automation.
  • Clear technical writing and the judgment to explain what the evidence shows, what remains uncertain, and why it matters to customers.
  • Ability to work closely with researchers, data scientists, engineers, and product teams in a fast-changing problem space.

Responsibilities

  • Develop threat models for enterprise AI systems and agent-mediated activity, including delegated access, service and workload identities, cloud agent infrastructure, connectors, and downstream actions.
  • Investigate how AI changes attacker operations, including the speed, scale, sequencing, and coordination of reconnaissance, credential abuse, lateral movement, and data theft.
  • Recreate realistic attack and misuse scenarios in controlled environments. Collect evidence, map observable behavior across identity, cloud, and network, and distinguish confirmed signals from hypotheses.
  • Assess existing detection coverage, identify telemetry and attribution gaps, and work with Data Science and Engineering to develop and validate new behavioral detections.
  • Help connect an agent’s actions to the human, application, identity, workload, tool, and resource involved, even when a single log source shows only part of the chain.
  • Translate research into clear findings, attack samples, coverage assessments, and recommendations that Product, Engineering, customer-facing teams, and customers can use.
  • Stay close to emerging techniques and real incidents, contribute original research, and help Vectra decide which problems warrant further investment.

Desired Qualifications

  • Research or operational experience with AI agents, copilots, model services, agent frameworks, tool integrations, or AI-related incidents.
  • Familiarity with attacks involving delegated authority, OAuth applications, cloud control planes, prompt injection consequences, or compromised agent infrastructure.
  • Experience correlating activity across multiple data sources or measuring detection efficacy against realistic attack sequences.
  • Published research, open-source tools, conference talks, or other contributions to the security community.

About the Company

Vectra

AI-driven network detection and response platform

Vectra.ai builds AI-powered security tools that watch traffic in cloud environments, SaaS apps, data centers, and enterprise networks to find cyber threats in real time. Its main product, the Cognito platform, connects with other security tools like EDRs, SIEMs, firewalls, and hybrid cloud setups. It collects network data and adds machine-learned security insights, then automatically detects attacker behaviors and flags the most at-risk devices. This helps security teams investigate incidents more efficiently and hunt for threats with AI assistance. Vectra.ai differentiates itself through strong integration across many security tools and its ability to provide real-time detection and risk prioritization across a wide set of environments. The company's goal is to help large organizations reduce security risk and improve their overall security posture by quickly detecting and responding to threats across their entire cloud footprint.

Company size
501-1,000
Company stage
Series F
Total funding
$352.3M
Headquarters
San Jose, CA
Founded
2011

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