Senior Security Engineer, Detection and Response

Role overview

Senior Security Engineer focused on Detection and Response for a fast-growing security organization. This is a foundational hire where you will build and scale detection engineering, incident response, and security automation in a remote-first, AI-first environment.

Responsibilities

• Build and scale a detection engineering program, including:
  • Alerting pipelines
  • Detection logic
  • Response workflows across multiple security domains
• Investigate, triage, and respond to security incidents; drive timely mitigation and post-incident improvements.
• Develop automation and LLM-augmented workflows to improve:
  • Detection authoring
  • Log analysis
  • Incident response efficiency
• Define and enforce security policies for enterprise AI platforms (e.g., Claude and OpenAI) including:
  • Access controls
  • Auditability
  • Governance
• Partner with IT and infrastructure teams to strengthen security across SaaS, endpoint, identity, and devices, using tools such as MDM and EDR.
• Mature/expand Data Loss Prevention (DLP) capabilities across SaaS, endpoints, email, and AI-related data flows.

Requirements

• 5+ years of security engineering experience, with strong expertise in:
  • Detection engineering
  • Incident response
  • Security operations
• Experience building/maintaining SIEM-based detection systems, alert pipelines, and end-to-end incident response.
• Hands-on experience securing enterprise AI platforms, including controls such as SSO, SCIM, audit logging, and governance policies.
• Strong knowledge of SaaS security, endpoint protection, and identity management tools, including Okta and MDM solutions (e.g., Kandji or similar).
• Demonstrated ability to use AI tools to accelerate security workflows, automation, and internal tooling.
• Experience collaborating with MDR providers and cross-functional IT/security teams.

Nice to have

• DLP solutions
• Zero Trust architectures
• SaaS security posture tools
• Fintech or handling sensitive financial data environments

Benefits / work style

• Fully remote with flexibility to work from anywhere
• Competitive salary with equity (early-stage)
• Home office / work setup stipend
• Medical, dental, vision, retirement benefits (e.g., US 401k)
• Unlimited PTO, plus a monthly 3-day weekend initiative