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Jobs · Information Technology · California

Member of Technical Staff, Tech Lead

Listen Labs · San Francisco, CA · 1 wk ago
On-siteInformation Technology$100/hrFull-time

Background

We teach AI what people actually think and want. We were founded with $100M in funding from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. Our customers include Anthropic, Google, and Cursor.

What We Do

We run 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. Every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API.

Technical Challenges

  • Database of Humanity: Maintain a database of millions of people. Match profiles based on voice, face, and device IDs. These profiles let us see how opinions change over time, prevent fraud, and find any niche audience.

  • Emotional Intelligence: Our AI interviewer reads tone, hesitation, and facial micro-expressions to go beyond the transcript. We've shipped the first version and are working on surpassing even the best humans.

  • Preference Model: Update the preference model is a research problem. What we already know, when to refresh it, which questions give the highest signal, and how to quantify the uncertainty in our predictions.

  • Human API: Embed this into Slack, Linear, IDEs, and coding agents themselves. Imagine an agent shipping code, asking Listen what humans actually want, taking action, and iterating.

  • Agent Evals: Evaluate qualitative outputs. Once you have the eval, you can hill-climb.

What We Look For

  • You solve problems end to end. The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.

  • You're a future or past founder. You scope your own work, think about the customers, and own your decisions. 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're excited about pushing LLMs to their limits. We work directly with the frontier model labs on new releases and constantly probe where they break.

  • You communicate complex ideas in writing. We work independently with one meeting a week, so writing is how tradeoffs, problems, and decisions get worked through together.

  • You're highly technical. Most of our team started coding as teenagers and nerd out on details from language design to compilers.

Company Highlights

  • Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC.

  • Selective team of

  • Clients include Anthropic, Cursor, Perplexity, Google, Microsoft, Robinhood, Nestlé, P&G, and Sweetgreen.

  • Post-PMF growth: 20x year-over-year revenue.

  • Huge market: clear path to $1M+ contracts at over 50% of the Fortune 2000.

Benefits

  • Competitive Compensation: We're backed by world-class investors, including Sequoia Capital, Ribbit, and Conviction, alongside Evantic, AI Grant, and Pear VC, and offer competitive compensation packages with meaningful equity.

  • Benefits that Support You: Comprehensive healthcare and dental coverage, flexible time off to recharge, and an environment that values balance and trust.

  • Room to Grow: You’ll have the opportunity to take on new responsibilities, shape processes from scratch, and grow alongside the company.

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