Member of Technical Staff (AI / LLM Systems) – Relocation to U.S. at Listen Labs | Torre
Member of Technical Staff (AI / LLM Systems) – Relocation to U.S.
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Member of Technical Staff (AI / LLM Systems) – Relocation to U.S.

You will build AI-powered research systems, shaping the future of customer insights with a hypergrowth team.
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Full-time

Legal agreement: Employment

Compensation
USD150k - 300k/month
Non-negotiable
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Remote (for Mexico residents)
Remote (for Chile residents)
Remote (for Canada residents)
Remote (for Singapore residents)
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Visa sponsorship: Yes
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Posted 6 months ago

Requirements and responsibilities


Overview Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours instead of months. Due to strong market demand and an aggressive 6-month product roadmap, the company is expanding its engineering team. The role focuses on building complex, end-to-end systems that power AI-driven research, working closely with a highly technical team. Company Highlights - Founded by serial entrepreneurs with a previous AI exit - Team members from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and Sequoia-backed startups - Backed by Sequoia Capital - 30-person team, hypergrowth from $0 to $10M run-rate in under a year - Enterprise customers including Google, Microsoft, Nestlé, and P&G Technical Challenges - Building an AI-powered research agent - Developing a large-scale database of human participants - Real-time video and voice interview analysis - Distributed information mining through AI agents - Customer preference modeling and synthetic personas What We Look For - End-to-end problem ownership across LLM pipeline, infrastructure, backend, and UX - High bar for quality and attention to detail - Interest in pushing advanced AI and LLM capabilities - Clear communication and structured thinking - Strong technical background Benefits - Competitive compensation with meaningful equity - Comprehensive healthcare and dental coverage - Flexible time off - Opportunity to grow and take ownership as an early team member
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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