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

Large language models are becoming powerful reasoning engines, but they're missing a crucial element to be truly useful for businesses: up-to-date information about your company.

Listen has created a product to quickly build this context. You can ask our AI any important business question, and it will:

  1. Find the right people to talk to
  2. Ask them the right questions
  3. Deliver a report with video highlights

For example, you could ask:

By collecting this information, we're giving large language models current context about your business. This turns them into something like a strategic thinking partner for your company.

The market research industry in the United States is fragmented, with about 5,000 consultancies and a total spend of $30 billion. We believe LLMs can automate most of this work. Our customers already include major brands like Google, Microsoft, Nestlé, Procter & Gamble, and Sony (only with founder-led sales). By helping these companies better understand their customers, we've already generated millions of dollars in ROI for them through improved products, enhanced advertising campaigns, and better decision-making.

Some vitals about Listen (achieved without anyone on sales):

  1. Hypergrowth: we’re growing like crazy, both in mid-market and also signing large enterprise contracts with firms like Google, Microsoft, Nestlé and P&G.
  2. Our win rate on commercial deals is 83%We have never lost a deal to a competitor. (We occasionally lose deals because a customer does nothing)
  3. 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.