a16z Lead Engineer, Incident Response at a16z responsible for detection and response capabilities across cloud, SaaS, identity, and endpoint environments. Manage and develop engineers while leading incident investigations and response.
Responsibilities
We're hiring a Lead Engineer, Incident Response to lead and shape a16z's detection and response team. This is a hands-on role: you'll spend a significant portion of your time investigating incidents, writing and reviewing detections, building automation, and making the harder technical response decisions. You'll also manage and develop the engineers on the team.
You'll build and improve detection and response capabilities across the firm's cloud, SaaS, identity, and endpoint environments, shaping the roadmap, tooling, threat hunting, and response practices. You'll also develop capabilities to protect the firm against impersonation and fraud. You'll work closely with Security Engineering, IT, Legal, Compliance, and other cross-functional teams to put these capabilities into practice and turn lessons from incidents into better detections, tooling, and controls.
Venture capital firms face threats that extend beyond their infrastructure: capital call wire fraud, impersonation, and social engineering against employees and partners, alongside attacks by organized criminal and nation-state groups. Your work protects sensitive firm and limited partner (LP) information, financial transactions, and the relationships the firm depends on.
This role requires an in-office presence 2 days a week in our San Francisco, CA office.
To join our team, you should be excited to:
Set the detection and response roadmap, prioritizing the threats that matter most to the firm and measuring detection coverage, alert quality, and response effectiveness
Lead and develop engineers through coaching, feedback, performance management, and technical reviews, working alongside them on investigations and engineering projects
Develop the team's ability to respond from triage through containment, eradication, and recovery, including vendor incidents. Lead major incidents, coordinate a16z's technical response with system owners and affected providers, and escalate decisions requiring leadership or Legal approval
Maintain and test response playbooks and escalation criteria through cross-functional tabletop exercises and incident simulations
Design and improve SIEM architecture and security logging with Security Engineering and IT, expanding detection coverage across cloud, identity, and endpoint environments, including EDR. Write, review, test, and tune detections as code, using relevant MITRE ATT&CK techniques to assess coverage and working with system owners to close visibility gaps
Run hypothesis-driven threat hunts informed by threat intelligence and prior investigations, turning findings into new detections
Build and improve brand protection capabilities including monitoring, investigation, and takedowns of lookalike domains, fraudulent websites, and social media accounts
Qualification
Strong detection engineering skillsSound judgment under pressureLow ego
Required
9+ years of incident response or detection and response experience, or equivalent demonstrated impact, with depth in cloud incident response across AWS and GCP
Prior experience managing security engineers, including coaching and performance management, while remaining technically hands-on
A track record of building and leading detection and response programs, making architecture and prioritization decisions, and delivering measurable improvements
Experience leading high-stakes incidents across cloud, SaaS, identity, and endpoint environments, including forensic investigation, containment, recovery, and postmortems
Strong detection engineering skills, including SIEM query languages or rule formats such as KQL or Sigma, detection-as-code, testing, and tuning
Experience designing SIEM and security log pipelines and using cloud logs, endpoint detection and response (EDR), and security orchestration and automation (SOAR) tools in investigations and response. We value transferable capability over experience with a specific product
Experience running hypothesis-driven threat hunts and investigating sophisticated attacks, including identity compromise, social engineering, and data exfiltration
Strong Python skills and experience building and reviewing maintainable security automation
Working knowledge of AI and agent systems, including their limitations and security risks when used in triage and response workflows
Experience leading cross-functional security work and communicating incident impact, uncertainty, and technical trade-offs clearly to non-technical stakeholders and senior leaders
Sound judgment under pressure, balancing security risk and business impact and recognizing when to escalate
Low ego, high empathy, and a track record of effective collaboration across teams
