Security Engineer, Detection and Response

Reposted 5 Days Ago
Be an Early Applicant
2 Locations
Hybrid
230K-260K Annually
Senior level
Artificial Intelligence • Productivity • Software
Notion is the AI workspace where teams and AI think together. Come build work that lasts.
The Role
Build and operate high-signal detections across cloud, identity, endpoints, and SaaS. Improve detection platforms, automation, and triage tooling (including LLM-based workflows). Translate threat TTPs into telemetry and detections, participate in incident response/on-call, track metrics like MTTD and alert quality, and drive detection engineering improvements across the org.
Summary Generated by Built In
Who We Are

Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

About The Role

Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build.

We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion.

You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next.

We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters

What You'll Achieve
  • Design and maintain high-signal detections across cloud, identity, endpoints, and SaaS environments.

  • Build and improve the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety.

  • Develop tooling and automation that accelerate triage, enrichment, investigation, and detection authoring, including LLM-based workflows where useful.

  • Translate threat intelligence and adversary TTPs into durable detections, telemetry requirements, and response improvements.

  • Participate in investigations, incident response, and postmortems that drive long-term security improvements.

  • Define and track key metrics such as coverage, MTTD, and alert quality to guide investment decisions.

  • Participate in a shared on-call rotation for incident response.

Skills You'll Need to Bring
  • Have 6+ years of experience in detection engineering, security operations, incident response, or threat hunting.

  • Have built and operated production detections with strong signal quality and sustainable tuning processes.

  • Are fluent in one or more detection languages such as Sigma, KQL, SPL, YARA-L, EQL, or Panther.

  • Have an offensive security mindset and have led purple team, blue team, or adversary emulation exercises that improved detections and telemetry.

  • Have strong cloud security experience in AWS, GCP, or Azure, including identity-focused attack detection.

  • Are hands-on with SIEM, EDR, and SOAR platforms in large-scale environments.

  • Communicate clearly through design docs, runbooks, and incident reports, and can drive projects independently.

Nice to Have
  • Experience applying LLMs or agent-style tooling to security workflows.

  • Experience securing AI-enabled systems or endpoint tooling.

  • Kubernetes or container detection experience.

  • Background in threat intelligence, malware analysis, or digital forensics.

  • Contributions to the detection engineering community through research, tooling, or talks.

  • Experience at a high-growth startup or AI company

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $230,000 - $260,000 per year.

 

By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144.

 

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A Note on AI

You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.

Equal Opportunity & Accommodations

We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Skills Required

  • 6+ years of experience in detection engineering, security operations, incident response, or threat hunting.
  • Built and operated production detections with strong signal quality and sustainable tuning processes.
  • Fluent in detection languages such as Sigma, KQL, SPL, YARA-L, EQL, or Panther.
  • Offensive security mindset and led purple team, blue team, or adversary emulation exercises.
  • Strong cloud security experience in AWS, GCP, or Azure, including identity-focused attack detection.
  • Hands-on with SIEM, EDR, and SOAR platforms in large-scale environments.
  • Communicate clearly through design docs, runbooks, and incident reports; drive projects independently.
  • Experience applying LLMs or agent-style tooling to security workflows.
  • Experience securing AI-enabled systems or endpoint tooling.
  • Kubernetes or container detection experience.
  • Background in threat intelligence, malware analysis, or digital forensics.
  • Contributions to the detection engineering community through research, tooling, or talks.
  • Experience at a high-growth startup or AI company.

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The Company
HQ: San Francisco, CA
1,000 Employees
Year Founded: 2016

What We Do

Notion is a collaborative AI workspace. Teams use it to store knowledge, run projects, take meeting notes, and build AI workflows — all in one place, so AI always has the context it needs to be useful. We're building the layer where AI stops being a chat window and starts being part of how work gets done. Knowledge, decisions, and action in one connected system.

Why Work With Us

We're building the layer where AI stops being a chat window and starts being part of how work gets done. Notion is where AI becomes useful at work: real workflows, real users, real context. People here move from idea to shipped without asking permission. If you want your fingerprints on work that millions of people use, this is the place.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Employees work in-person at our offices on Mondays, Tuesdays and Thursdays. The other two days are flexible.

Typical time on-site: 3 days a week
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