tl;dr: We're hiring a Generalist/BizOps Lead to work directly with our CEO/co-founder, scaling Listen from 10 to 100 people and building strategic functions across marketing, product, and customer success. This role is perfect for an analytical generalist who thrives on autonomy, cares about details, and is committed to excellence.
Every company wants to be customer-obsessed, but traditional market research is slow, manual, and often outsourced to mediocre agencies. Companies like Microsoft spend hundreds of millions annually on these services. Listen Labs automates this entire process using AI, making customer research faster (24 hours instead of 8-12 weeks), cheaper, and even higher quality. Ask Listen a question like "How do finance directors handle AI budgets?" and our AI agent will:
Find the right people to talk to
Ask them the right questions
Deliver a report with slides and video highlight reels
Hypergrowth: Grown from 0 to multi-million dollar revenue in 6 months.
We work with the best customers: Google, Microsoft, Canva, Nestle, Skims, Anthropic, and many more.
Backed by the best: Sequoia, Conviction, AI Grant, and Pear VC. Our Sequoia partner, Bryan Schreier, was Qualtrics' first investor ($12B company in a similar space).
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.
Our market is gigantic: $30B+ spent on services through legacy market research firms, and we see a big green field opportunity with smaller companies.
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.
You'll work directly with the CEO to shape strategy, improve operations, and build the foundation for future hires across marketing, product, and customer success. Early on, you'll do the work yourself, writing landing pages, setting up dashboards, talking to users, then bring on and train specialists as we scale.
This is a fast-paced, high-ownership role with a clear path to leadership.
High bar for quality and attention to detail
Excellent at execution and owning outcomes
Analytical and intellectually curious
Thrive in ambiguity and move fast
