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Salary
$150k – $300k per year
Location
In office (San Jose)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Oct 5, 2026. Hark scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Hark was an online digital entertainment platform best known for its extensive library of short audio soundbites, video clips, and pop culture quotes. Launched in 2007, the website allowed users to browse, create, and share playable soundboards featuring memorable lines from movies, television shows, and political figures. While it grew into a popular destination for viral sound clips during the late 2000s and early 2010s, the platform has since ceased its original operations.

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 (Application Security Engineer) to own the security of the software Hark ships. You'll review design and code, find and fix vulnerabilities in our backend services, mobile apps, and third-party integrations, and build the guardrails that let engineers move fast without shipping bugs. Our agents act on behalf of users across their apps and data, so you'll also be defining how to secure LLM and agent systems, a space with very few established playbooks.

This role is hands-on; you'll be reading code, writing fixes, and building tooling, not managing or auditing.

Responsibilities

  • Threat-model new features and services, with a focus on agent/LLM attack surfaces (prompt injection, tool misuse, data exfiltration, cross-tenant access).
  • Review code and designs for Hark's backend services (primarily Go), APIs, and mobile apps; fix vulnerabilities directly when it's faster than filing a ticket.
  • Secure authentication, authorization, and session handling across our consumer product, including OAuth integrations with third-party platforms.
  • Build and tune SAST, dependency, and secrets scanning in CI so findings are high-signal and developers actually act on them.
  • Triage and remediate findings from pentests and our vulnerability disclosure program.
  • Partner with engineering to embed security into the development lifecycle through paved roads, secure defaults, and reusable libraries.

Requirements

  • 4-8 years of hands-on application or product security engineering experience.
  • Strong software engineering skills; you can read, write, and ship production code (Go strongly preferred; Python, TypeScript, Swift, or Kotlin also valuable).
  • Deep understanding of web and API vulnerability classes (OWASP Top 10, SSRF, IDOR/BOLA, authz flaws, injection) and how to fix them at the root.
  • Hands-on experience with OAuth 2.0 / OIDC, session management, and securing multi-tenant systems.
  • Experience running secure code review and threat modeling in a fast-moving engineering org.
  • Experience turning scanner and runtime findings into fixes using tools like Wiz Code, Wiz Cloud, and Datadog SIEM (or equivalent SAST/SCA, CNAPP, and SIEM tools).
  • Real curiosity about LLM and agent security; this is new territory and we want someone excited to figure it out.

Bonus Qualifications

  • Experience at a security-forward product company (Stripe, Coinbase, Discord, Roblox, Netflix) or an offensive security consultancy (Trail of Bits, Bishop Fox, NCC Group).
  • Mobile application security experience (iOS/Android).
  • Prior work on LLM/agent threat modeling, prompt injection defenses, or AI red teaming.
  • Bug bounty, CVE, or open source security contributions.

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 components and benefits depending on the specific role. This information will be shared if an employment offer is extended.

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