About The Role
We're looking for a
Senior Security Architect to be the founding SME for its Security Ops capability.
This is a high-leverage, zero-to-one role. You will define what the agent
knows and
can do in the security domain — from the detection logic and runbooks that power its reasoning, to the agentic workflows that let it autonomously investigate, triage, and remediate security events across multi-cloud environments. You'll work at the intersection of deep security expertise, AI agent design, and product engineering.
If you've spent years wishing your security tooling could think and act like a seasoned analyst — this is your chance to build that.
What You'll Do
Own the Security Ops Intelligence Layer
- Define the security knowledge layer that powers the agent: threat models, detection logic, investigation playbooks, and remediation workflows across AWS, Azure, GCP, and hybrid environments.
- Design and build agentic security capabilities — from automated triage and root cause analysis to policy violation detection and cloud misconfiguration remediation.
- Translate your security expertise into structured, LLM-ready context: runbooks, risk taxonomies, tool schemas, and skill definitions that shape how the agent reasons about security events.
Research → Product
- Identify high-impact, underserved security risk areas in cloud-native and AI-native architectures and drive them into the product roadmap.
- Deliver proofs of risk (demonstrating attack impact) and technical POCs (demonstrating agentic resolution) to validate and prioritize new capabilities.
- Analyze cloud service APIs, telemetry, and log payloads to define what data the agent needs to ingest and act on.
Shape the Security Ops Agent Experience
- Partner with Product and Engineering to design the end-to-end experience for security operations workflows — alert handling, investigation, escalation, and auto-remediation.
- Define the guardrails, confidence thresholds, and human-in-the-loop checkpoints that make the agent trustworthy in production security environments.
- Serve as the internal authority on security correctness — reviewing agent outputs, catching reasoning gaps, and continuously improving the agent's security judgment.
Customer & Market Proximity
- Engage directly with design partners and enterprise customers to understand their SecOps workflows, tooling stack, and compliance requirements.
- Monitor the threat landscape and translate emerging attack patterns into new agent skills and detections.
What You'll Bring
- 8+ years of hands-on experience in cloud security, security architecture, or security engineering — with deep expertise in at least two of AWS, Azure, or GCP.
- Strong command of cloud-native threat models: IAM abuse, data exfiltration paths, lateral movement, supply chain risk, and misconfiguration patterns at scale.
- Experience with security telemetry pipelines — CloudTrail, GuardDuty, Security Hub, Defender, Chronicle, or equivalent — and the ability to design detection logic against them.
- Proven ability to build or operationalize security runbooks and response playbooks, ideally in a SOC, CSIRT, or product security engineering context.
- Hands-on scripting and automation skills (Python, Go, or equivalent) for building POCs, tooling, and integrations.
- Strong product instincts — you can translate deep security expertise into clear requirements, user-facing workflows, and actionable roadmap decisions.
- Excellent written communication; able to make complex risk and architecture tradeoffs legible to engineering, product, and executive stakeholders.
Bonus:
- Prior experience building security features for a SaaS or cloud infrastructure product.
- Familiarity with LLM-based agent architectures, tool use, or AI-powered security tooling (e.g., security copilots, SIEM AI assistants).
- Certifications: CISSP, CCSP, AWS Security Specialty, or equivalent.
Why This Role
- You'll be the first dedicated security domain expert on this initiative — your fingerprints will be on the product architecture from day one.
- Direct path into senior product, research, or engineering leadership as the product scales.
- Work at the frontier of AI + security — a space that is moving fast and where being early matters enormously.
- Competitive compensation, equity, and benefits.