Detection & CorpSec Engineer

Quora is a privately held, 'remote-first' company This position can be performed remotely from anywhere in Canada or the United States. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]

About Quora:

Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:

• Quora : a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.

• Poe : a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be supporting both our Quora and Poe products.

About the Team and Role:

Quora's Security team is responsible for protecting the company's most critical assets from both external threats and insider risks. We're a small, high-ownership team with a pragmatic, builder-oriented approach: we build where commercial solutions don't fit, leverage AI to work efficiently at scale, and move fast to stay ahead of real-world threats.

We're looking for a Detection & Corporate Security Engineer to strengthen both our preventative and detection capabilities across corporate and production environments. This is a genuinely hybrid role: you'll build and maintain detection systems while also owning the corporate security controls that protect our employee fleet and internal infrastructure. You'll work closely with our IT team, collaborate with existing security engineers on production-side coverage, and serve as a trusted security advisor to non-technical teams across the organization.

Responsibilities:

• Build and maintain a SIEM to collect and analyze logs from across corporate and production systems; write and deploy detections and alerts to identify malicious behavior

• Design and deploy canary tokens and early warning mechanisms to detect threats before they reach critical assets

• Investigate security incidents end-to-end — including malware analysis, exfiltration assessment, and timeline reconstruction — and build runbooks to scale response capabilities

• Partner with IT to define and enforce security standards across the employee device fleet, including endpoint protection, managed device requirements, OS compliance, and VPN access controls

• Drive the PoC and implementation of Zero-Trust VPN and other corporate security infrastructure

• Provide security guidance and advisory support to non-engineering functions across the organization

Minimum Requirements:

• Availability for meetings and impromptu communication during Quora's “ coordination hours ' (Mon-Fri: 9am-3pm Pacific Time)

• 5+ years of experience in security engineering, detection engineering, or a closely related field

• Hands-on experience building or maintaining SIEM infrastructure and writing detection rules

• Experience with endpoint security tools (e.g. CrowdStrike or similar EDR platforms)

• Strong Python engineering skills with a track record of writing production code reviewed and shipped alongside software engineering teams

• Experience conducting security incident investigations, including malware analysis, log review, and timeline reconstruction and threat modeling

• Experience with corporate security controls, identity management, endpoint protection, and access control enforcement

Preferred Requirements:

• Experience with SIEM/SOAR options such as Elastic/Splunk or alternatives

• Familiarity with identity platforms such as Okta

• Strong understanding of authentication technology such as OAuth, Yubikey and Passkey

• Experience with Zero-Trust network architecture or VPN implementation

• Demonstrated use of AI coding tools to build or automate security workflows

• Experience in a small security team or fast-paced startup environment

• Familiarity with AWS and cloud-native security tooling

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

• US candidates only: For US based applicants, the salary range is $172,279 - $249,640 USD + equity + benefits.

• Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $220,272 - $255,347 CAD + equity + benefits. For all other locations in Canada, the salary range is $205,587 - $238,324 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.

To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.

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