Member of Technical Staff
Listen Labs
Member of Technical Staff
Listen Labs
Automates AI-driven customer interviews and insights
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.
Applications for this position will be accepted on an ongoing basis.
BACKGROUND
As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers.
Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours.
Where it's going: every interview feeds a human preference model, exposed to the world through the Human API. AI agents will call Listen from Slack, Linear, IDEs, and coding agents to ask what humans actually want. The trust people place in that signal is everything, and security is how we earn it.
Listen was acquired by Salesforce in 2026 and is being incubated within Salesforce AI Labs!
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
World-Class Team: Founded by serial entrepreneurs, Alfred (Bemlo, YC W22) and Florian (IOI medalist, ICPC World Finalist), and built with talent from Google, Meta, Tesla, Amazon, Jane Street, and X, alongside Bain, Goldman Sachs, McKinsey, and Sequoia-backed startups like Applied Intuition, Scale AI, and Rippling. Over 30% of our team are former founders.
Hypergrowth: Since launching, Listen has grown annualized revenue 15x and completed over 2 million interviews, backed by $100M in total funding led by Ribbit Capital, with Sequoia, Conviction, and Pear VC participating.
Traction: Already serving 15% of Fortune 100s, with enterprise wins and expansions across Anthropic, Microsoft, Nestlé, Perplexity, Sweetgreen, and more.
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.
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.
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $180,000-$300,000 annually.
Your recruiter can share more about the specific salary range for the job location during the hiring process. The rangce represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable
Automates AI-driven customer interviews and insights
Listen Labs provides AI-powered customer feedback and market research services that run personalized interviews at scale for both businesses and consumers. Its offerings include usability testing, churn analysis, and ethnographic studies, with participant recruitment drawn from a large pool or integrated from other providers. The core product automates the interview process and produces detailed, actionable reports on customer sentiments, brand perception, and product feedback. This enables faster, data-driven decision making and strategic insights. Compared with competitors, Listen Labs emphasizes scalable, automated interviewing across diverse demographics and a broad service set, delivering insights quickly through subscription and service charges. The company's goal is to help organizations understand what customers think and feel about their products and brands so they can improve experiences and outcomes.
Explore more opportunities at Listen Labs