5-7 years of experience in security engineering or related fields
Proficient in modern backend technologies, particularly TypeScript and Terraform
Deep understanding of application security fundamentals, including OAuth/OIDC and RBAC
Experience with threat modeling and identifying security vulnerabilities
Strong problem-solving skills with a focus on delivering fixes, not just identifying issues
Excellent written communication skills for articulating complex ideas
Curiosity about AI security and willingness to learn about LLM systems
Responsibilities
Design and implement security measures for sensitive user data
Ensure multi-tenant isolation and manage access controls
Conduct threat modeling for AI-native applications
Develop secure authentication and API designs for integrations
Create secure development practices and tools for engineering teams
Review code and architecture for security vulnerabilities
Collaborate with engineers to implement security fixes
Benefits
Comprehensive medical, dental, and vision coverage
Annual learning stipend for professional development
Wellness stipend for health-related expenses
Monthly budget for AI tools and software
Daily meals provided by a private chef in the office
Flexible vacation policy allowing for take-what-you-need time off
Opportunities for growth and ownership in projects
Company events and celebrations throughout the year
Full Job Description
TL;DR: We're hiring an engineer who builds security into a complex AI-native product, not one who audits it from the outside. You write real code, ship real fixes, and understand how systems are built well enough to know exactly how they break.
WHAT YOU'LL WORK ON
Securing the Database of Humanity. We hold voice, face, and device-linked profiles for millions of people. You'll help design the protections that data deserves: encryption, access boundaries, retention, and abuse resistance, built into the product rather than bolted on.
Multi-Tenant Isolation. ListenLabs staff, customer admins, and study participants all touch the platform with very different privileges. You'll make sure the boundaries between tenants, roles, and studies hold up, and you'll find the places where they don't before anyone else does.
AI-Native Attack Surface. Our interviewer, Study Composer, and Research Agent all process untrusted human input and take actions. You'll threat-model prompt injection, data exfiltration through model outputs, tool and agent permissions, and the new failure modes that appear when LLMs sit inside the trust boundary.
Securing the Human API. As we embed Listen into Slack, Linear, IDEs, and coding agents, we're building authentication, authorization, and API surfaces for programmatic and agentic callers. You'll help get those designs right from the first version.
Security Engineering Platform. You'll build the paved road: secure-by-default libraries and patterns, SAST/DAST/SCA and secrets scanning wired into CI, dependency and supply chain hygiene, and fast feedback so engineers can ship quickly without shipping vulnerabilities.
Design and Code Review. You'll review architecture and pull requests alongside the engineers who wrote them, and you'll often write the fix yourself.
WHO YOU ARE
You're an engineer first. You're comfortable in a modern backend stack (we use TypeScript and Terraform), you can read and write production code, and you can hold your own in a code review with product engineers. Junior-level or better development skills are the floor, and the engineering mindset matters more than any single language.
You understand how things are built, and how they break. You know the OWASP Top 10 as failure patterns of real design decisions, not a checklist. You can explain why an authorization bug happens, not just that it does. You think in trust boundaries, threat models, and blast radius.
You build the fix, not just the finding. You're not a security analyst writing tickets, and you're not a pen tester delivering a report. You close the loop by shipping the guardrail, the library, the pipeline check, or the patch.
You have real depth in application security fundamentals: authentication and authorization (OAuth/OIDC, sessions, RBAC), cloud and infrastructure security basics, secrets management, secure API design, and common vulnerability classes across web and backend systems.
You're curious about AI security. You're excited to learn how LLM systems fail and to help define best practices in a field that's still being written. Prior LLM security experience is a plus, not a requirement.
You care about getting things right. Moving fast is essential, but a 100% solution is much more powerful than an 80% one. When something breaks, you go to root cause.
You communicate complex ideas in writing. We work independently with one meeting a week, so clear writing is how you'll make the case for tradeoffs, explain risk to engineers, and get fixes prioritized.
You solve problems end to end. You scope your own work, think about customers and their trust, and own your decisions.
LIFE AT LISTEN LABS
Health, covered: Full medical, dental, and vision. FSA/HSA and life insurance are available too.
Competitive Compensation: Backed by world-class investors, we hire the best and treat them accordingly, with meaningful equity ownership. The range for this role is $180,000 - $300,000 base. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, experience, and work location. If this range doesn't match your expectations, we still encourage you to apply.
Annual Learning Stipend: Books, courses, conferences, coaching, language lessons, and almost anything that makes you sharper.
Annual Wellness Stipend: Gym memberships, race fees, massages, ergonomic gear, and more.
Monthly Stipend for AI tools: A dedicated budget for the software and GPU credits that make you faster.
Fed, daily: A private chef serves lunch and dinner in our SF office; NYC and London teams get daily meal credit.
Flexible time off: A take-what-you-need vacation policy.
We celebrate together: Company offsites and events like our annual holiday party.
Room to grow: As an early member of the team, you'll own end-to-end processes from scratch and grow alongside the company.
