Sable Logo

Sable

Security Lead

Posted 9 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
Own Sable’s security program across cloud infrastructure, browser environments, credentials, secrets, and customer data. Establish data-handling and access-control standards, maintain ISO 27001, ISO 42001, and SOC 2 controls, threat-model emerging AI surfaces, manage vulnerabilities, and build detection, logging, and incident-response systems. Lead customer security discussions and develop preventative guardrails for engineering, including protections for multi-tenant systems, sandboxed browser use, prompt injection, and data exfiltration.
The summary above was generated by AI
ABOUT SABLE

Sable built Aidan, the first AI employee who leads customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call.

THE ROLE

You own security at Sable. You'll set and enforce the standards that let enterprises trust us with their customers and data: data handling, access control, endpoint security, and the compliance program.

WHAT YOU'LL DO
  • Own security across every surface: browser environments, credentials, secrets, customer and internal data

  • Own data-handling and access-control standards, and implement enterprise-level best practices across every surface

  • Own our compliance program: maintain ISO 27001 & 42001 and SOC 2 Type II controls and evidence

  • Threat-model new surfaces (realtime voice, vision, browser use, and the Brain) and establish preventative systems for engineering before they ship

  • Manage and be up to date on CVEs and resolves with your own contributions and collaboration within engineering

  • Build detection, logging, and incident response systems

WHO YOU ARE
  • Experience in security engineering for cloud infrastructure: container orchestration (Kubernetes), IAM, network isolation, and secrets management

  • You write the fix yourself, not just the finding, and you match controls to real risk so a small team keeps moving fast

  • Comfortable leading conversations with customers' security teams and holding the room

  • Excited to be the first dedicated owner of security, and to build the guardrails that let a small team operate like an enterprise

  • Bonus: securing multi-tenant or sandboxed browser/computer use systems; running compliance audits; experience with LLM agent risks such as prompt injection and data exfiltration

Similar Jobs

2 Days Ago
Hybrid
Palo Alto, CA, USA
Senior level
Senior level
Financial Services
Lead cybersecurity architecture for cloud-based applications, AI/ML platforms, agentic systems, and MCP integrations. Own secure design reviews, reference architectures, security requirements, threat modeling, risk mitigation, and governance. Develop software and use AI/ML tools to automate security assessments while validating recommendations for security, resiliency, data protection, and auditability. Partner with technical teams, business stakeholders, and senior leaders to define target states and secure emerging technologies.
Top Skills: Agentic SystemsAi/MlApplication SecurityCi/CdCloud SecurityEncryptionIamKey ManagementLogging And MonitoringMcpNetwork SegmentationSecrets ManagementSecure ApisSecure SdlcThreat Modeling
10 Days Ago
In-Office
San Jose, CA, USA
173K-420K Annually
Expert/Leader
173K-420K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Consulting
Lead the architecture and engineering of production-grade agentic AI platforms for offensive cybersecurity operations. Design multi-agent workflows, execution harnesses, memory, tool calling, model routing, retrieval, and enterprise integrations. Establish security, evaluation, observability, reliability, and AI safety practices, including sandboxing, authorization, secrets management, guardrails, and defenses against prompt injection and data leakage. Mentor engineers, guide cross-functional architecture decisions, and communicate tradeoffs to senior leadership.
Top Skills: A2A ProtocolsAPIsAutogenCi/CdClaude Agent SdkCloud InfrastructureDockerEvent-Driven ArchitecturesFoundation-Model ApisFunction CallingGrpcHybrid SearchKubernetesLanggraphMcpMicroservicesOpen-Weight ModelsPythonRagRestSemantic KernelVector Databases
2 Days Ago
In-Office
San Francisco, CA, USA
200K-300K Annually
Entry level
200K-300K Annually
Entry level
Artificial Intelligence • Information Technology
Own infrastructure security for globally distributed systems, lead the security team, harden cloud-native infrastructure, build internal security tooling, improve telemetry and threat detection, and remediate vulnerabilities. The role partners closely with engineering teams and will expand into securing AI infrastructure, including training clusters, GPU fleets, model artifacts, and inference endpoints.
Top Skills: AnsibleAWSCorebootFalcoGCPGoLinuxLinuxbootOpenbmcOsqueryRustSaltSIEMTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account