Security Engineer

Location: San Jose

Department: Privacy & Security

About Hark

Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.

We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.

To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.

About the Role 

We're hiring a Member of Technical Staff (Security Engineer) to own security engineering at Hark. You'll threat-model our systems, harden our cloud and product infrastructure, build detection capabilities, and lead incident response when things go wrong. As AI agents become a core part of our product, you'll also be on the frontier of LLM and agent security — a space with very few established playbooks.

This role is hands-on; you'll be building and operating, not managing or auditing.

Responsibilities

• Threat-model Hark's infrastructure, product, and agent/LLM attack surfaces.
• Harden cloud infrastructure (EKS, IAM, network access paths) and review IaC for misconfigurations and vulnerabilities.
• Build and maintain detection and alerting pipelines; lead triage and containment during incidents.
• Partner with engineering to embed security into the development lifecycle.
• Define and evolve Hark's security posture as the product and team scale.

Requirements

• 4–8 years of hands-on security engineering experience.
• Deep fluency in cloud security (AWS/GCP, IAM, Kubernetes, network hardening).
• Experience with detection engineering and incident response — you've triaged real alerts and contained real incidents.
• Ability to read and review infrastructure-as-code (Pulumi, Terraform, or similar) for security issues.
• Genuine curiosity about LLM and agent security — this is new territory and we want someone excited to figure it out.

Bonus Qualifications

• Experience at a cloud security company (Wiz, Orca, Datadog, Snyk) or a security-forward startup (Stripe, Figma, Ramp, Netflix).
• Familiarity with zero-trust networking (Tailscale, Cloudflare, HashiCorp Vault).
• Prior exposure to AI/agent security threat modeling.

Compensation

The US base salary range for this full-time position is between $150,000 - $300,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional