Staff Detection and Response Engineer
AlphaSenseRemote - United StatesPosted 26 March 2026
Job Description
About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the SP 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
Location: Remote within USA
About The Role
AlphaSense's DxR team is looking for a Detection Response Engineer who thrives at the intersection of threat detection, security automation, and incident response. You'll build and tune detections in SIEM, respond to real incidents, and serve as a Tier 3 escalation resource for our 24/7 SOC. This is a hands-on role — you'll own your detections end-to-end and be the last line of defense before executive escalation.
You'll be joining a fast-paced security organization that emphasizes automation, engineering-driven approaches, and systematic problem-solving. Our team operates at the intersection of security operations, detection engineering, incident response, and infrastructure security. We value practical solutions, measurable outcomes, and continuous improvement.
Key Responsibilities:
Detection Engineering
Author, tune, and maintain detection rules in SIEM across cloud, identity, and endpoint log sources
Convert and adapt SIGMA/YARA-L rules and threat intelligence into SIEM detections
Continuously reduce false positives and improve detection fidelity.
Map detections to MITRE ATTCK and track coverage across the kill chain
Security Automation (SOAR)
Develop complex automated response playbooks for multi-stage incidents spanning multiple security tools
Integrate security tools via APIs (SIEM, EDR, MDM, CASB, ITSM, threat intelligence platforms)
Handle Incident Response processes and procedures as needed
Incident Response – Tier 3 / Escalation
Act as the senior escalation point for complex, ambiguous, or high-severity incidents
Lead technical investigation for P1/P2 incidents — scoping, containment, eradication, and recovery
Coordinate with IT, Engineering, Legal, and CISO during major security events
Drive tabletop exercises and IR simulations to test and improve team readiness
Threat Hunting Intel
Proactively hunt for threats across the environment using SIEM, CrowdStrike, and BigQuery
Consume and operationalize threat intelligence feeds into new or updated detections
Track emerging TTPs relevant to SaaS, fintech, and AI-adjacent threat actors
What We Are Looking For:
Required
7+ years in security engineering, detection engineering, or IR / SOC (Tier 2 or above)
Hands-on experience with a SIEM and SOAR solution
Strong understanding of MITRE ATTCK and how to apply it to detection and response
Strong experience investigating incidents in cloud environments (AWS, GCP, or Azure) and solid grasp of Cloud, identity and Endpoint security threats.
Comfortable writing detection logic, scripts, or automation (Python, YARA-L, SIGMA, or similar)
Experience with purple team activities, adversary emulation, or red teaming.
Clear written and verbal communication — you can brief a CISO and a junior analyst on the same incident.
Preferred
Experience implementing and ... (truncated, view full listing at source)
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