Member of Technical Staff

Job description

Join to apply for the Member of Technical Staff role at Listen Labs .

TL;DR: We are seeing strong market demand and 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 complex problems end‑to‑end, we should talk.

Background: Listen Labs is an AI‑powered research platform that helps teams uncover insights from customer interviews in hours — not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions.

Company highlights — entirely product‑led:

World‑Class Team: Founded by serial entrepreneurs (previous AI exit), former co‑founders, and talent from Jane Street, Twitter, Stripe, Affirms, Bain, Goldman Sachs, and many more Sequoia‑backed startups (plus IOI/ICPC backgrounds).

Hypergrowth: We’re a 30‑person team backed by Sequoia, growing from $0 to a $10M run‑rate in under a year. We move fast, care deeply about craft, and love working with people who take ownership.

Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G.

Performance: 83% win rate on deals with no losses to competitors.

Market Validation: Consistently closing six‑figure deals — including >$200K ARR — while also winning fast‑growing mid‑market leaders like Anthropic and Canva.

Viral Product: Interviews are shared with tens of thousands of viewers, fueling PLG, organic expansion, and daily inbound from Fortune 500s.

Technical Challenges

McKinsey On Demand: Building a research agent. You have an AI agent on your side that knows everything about our platform and the best research practices. It helps you set up your project, conduct interviews with your goals in mind, and analyze thousands of responses.

Database of Humanity: We are building a database of millions of humans to find the people you need (e.g., "power users of ChatGPT and Excel"). With more studies, we better understand users and can predict responses.

Realtime Video Interviews: The next version of our AI interviewer will read between the lines, using computer vision, speech analysis, and real‑time decision making to be more nuanced than senior user researchers.

Distributed Information Mining: An agent finds the right people to talk to, asks the right questions, and returns actionable recommendations—layers of consulting intelligence.

Customer Preference Model & Synthetic Personas: Building profound understanding of customers to extrapolate new questions via synthetic personas, involving complex modeling of human behavior and decision making.

What We Look For

You want to solve problems end‑to‑end: Every engineer owns a part of the product and must make decisions across the LLM pipeline, infrastructure, backend, and UX.

You have a high bar for quality: In a fast‑moving startup, output matters and details matter.

You want to push LLM capabilities: We continually push advanced AI models to their limits.

You are a clear thinker and communicator: Limited meetings; we expect clear tradeoffs and blockers.

You are highly technical: Our team started coding early and loves deep technical detail.

Life at Listen Labs

Competitive Compensation: We’re backed by world‑class investors and offer competitive compensation packages with meaningful equity ownership.

Benefits Support You: Comprehensive healthcare and dental coverage, flexible time off, and a balance‑valuing culture.

Room to Grow: As an early member, you’ll shape processes, take new responsibilities, and grow with the company.

Compensation Range: $150K - $300K

Referrals increase your chances of interviewing at Listen Labs by 2x.

Medical insurance

Vision insurance

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Worksite address

san francisco, CA, 94199, US

Who can apply

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