Member of Technical Staff
Listen Labs - San Francisco, CA
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OverviewJoin to apply for the Member of Technical Staff role at Listen Labs.tl;dr: We are seeing a strong market pull and have an aggressive 6-month product roadmap, so we are expanding our engineering team. We're looking for someone highly technical (our current team includes 3 IOI medalists) who wants to build a product that is changing how companies make decisions. If you're excited about tackling hard problems end-to-end, we should talk.Background: Write code and talk to customers. That's the YC secret on building a great company. Writing code is getting easier, so talking to customers becomes even more important. Listen Labs builds an AI that talks to hundreds of your customers per week and tells you how to improve your product or messaging. Listen handles: design the interviews, finding the right participants, and analyzing the responses.Fortune 500 companies spend $100M+/year on consultants to do just that. Our customers, including Google, Microsoft, Anthropic, Canva, Sony, SKIMS, and Nestlé, have realized millions in ROI through improved products, advertising, and strategic decisions.Why Join ListenGigantic Market: Almost every company on earth wants to understand its customers better. We are winning with the most sophisticated players from Google to Anthropic.We have never lost a deal to a competitor: (We occasionally lose deals because a customer does nothing).Our founders are serial entrepreneurs (previous AI startup exit): The team has backgrounds from Jane Street, Tesla Autopilot, IOI, ICPC, Harvard, Carnegie-Mellon, UC Berkeley. Our CTO reported directly to Elon Musk at Tesla.The product is highly viral: Customers can share interviews to tens of thousands of users. That means free pipeline and a strong PLG motion. We receive inbound from Fortune 500s every day.Backed by the best: Sequoia led our Series A ($27M total), together with Conviction, Pear, and AI Grant.Technical ChallengesMcKinsey On Demand: Building a research agent. You don’t just get tools, but get opinions, experience, and execution. We build Listen with that perspective: You have an AI agent on your side that knows everything about our platform and the best practices in research. It helps you set up your project, conducts interviews with your goals in mind, and analyses thousands of responses for you.Database of Humanity: Find the people you are looking for (eg, power users of ChatGPT and Excel). We are building a database of millions of humans. The more studies you do with Listen, the better we understand you, enabling finding people with unmatched accuracy and extrapolating what a person would say based on all previous conversations.Realtime Video Interviews: The next version of our AI interviewer will have emotional understanding of video and voice to read between the lines, aiming to be more nuanced and effective than the most senior user researchers. This involves computer vision, speech analysis, and real-time decision making.Distributed Information Mining: The most interesting information is often not publicly accessible; we build an agent that finds the right people to talk to, asks the right questions, and returns with a report and actionable recommendations.Customer Preference Model & Synthetic Personas: Building deep understanding of customers to extrapolate to new questions via synthetic personas, involving modeling of behavior, preferences, and decision-making processes.TeamThe engineering team includes:Senior Staff engineerExperience from Jane Street, Tesla Autopilot, AffirmGrowing aggressively in the next monthsWhat we look forYou want to solve problems end-to-end: Our team is split vertically, so every engineer owns a part of the product end-to-end and needs to make decisions from LLM pipeline, infra, backend, to UX (with help!).You have a high bar for quality: In a startup, moving fast is important, but care about output, obsess about details, and build a product that works, especially in AI.You want to push LLM capabilities: We continually push the most advanced AI models to their limits and work with foundational companies on their new releases.You are a clear thinker and communicator: We have one weekly meeting and expect you to communicate tradeoffs, problems, and blockers directly.You are highly technical: Most of our team started coding as teenagers and nerd out on details from language design to pensationCompensation Range: $150K - $300KSeniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyTechnology, Information and Internet #J-18808-Ljbffr
Created: 2025-09-25