Why Join - Listen Labs

The way big companies make decisions today is, frankly, kind of terrifying.

If you're sitting in a Fortune 500 boardroom, you're making multi-million dollar bets on customer research that's either six weeks old or based on "gut feel."

The legacy customer research world is fundamentally broken.

The status quo for a Head of Insights or a Brand Manager is a choice between three bad options:

Romani Patel, Senior Research Manager at Microsoft, summed it up perfectly on Listen's site: "It takes 4 to 6 weeks to get to insights. By the time we get to them, either the decision has been made or we lose out on the opportunity to actually influence it."

That is the entire problem in one sentence.

Quick personal aside. I worked with expert networks back in my consulting days, and I have first-hand PTSD from this workflow lol. Every project: kick off a custom recruit, wait 2-3 weeks, pay $1,500+ per hour, do 10 calls, write a deck. Half the time the project was already overtaken by reality before the readout.

So when I saw what Listen is doing, my reaction was "wait, you can just... do this in an afternoon?"

Alfred Wahlforss, Listen's CEO, has noted that a single Fortune 500 company often spends $10M/year on Qualtrics and $100M+/year on research agencies. That's the line item Listen is going after.

And no, throwing ChatGPT or a general LLM at this doesn't fix it. ChatGPT doesn't have a respondent pool. It can't recruit 100 verified Gen Z women in tech in 24 hours. It isn't SOC 2 / GDPR / ISO 42001 compliant. And it definitely isn't going to give you transcript-traced, statistically rigorous output that survives a CMO's questioning.

Listen Labs is filling this gap.

This might sound obvious, but TAM is a huge predictor of your future growth at a company.

I didn't optimize for this at one of my last companies before Crew, and it ended up being quite a limiting factor. Hope you all don't make the same mistake I did 🙂.

The global insights industry is roughly $150B+ (per ESOMAR). The narrower "market research turnover" sits around $84B globally, with the US alone at ~$48B.

The incumbents are sitting ducks. Qualtrics is a 24-year-old product. Kantar (~$3.3B revenue) and Ipsos ($2.5B revenue) are old-line services businesses with no clean way to rebuild around an LLM without burning the boat. Nielsen went private for $16B in 2022.

Listen is going after every one of those budget lines.

Why now is real. GPT-4 (March 2023) was the first model that could actually follow a structured interview guide. The OpenAI Realtime API (October 2024) was the first time you could have a sub-second voice conversation with an LLM that didn't feel like a robocall. Listen literally could not have existed up to two years ago.

Then there's the Jevons Paradox angle. When research gets 10x cheaper and 100x faster, companies don't pocket the savings, they run 10x more research. Always-on brand trackers instead of quarterly. Concept testing every ad before it ships. The market expands as the cost curve drops.

The buyer profile is also a fun and creative one: Heads of Insights, Brand Marketing leaders, PMs, UX Research teams, Strategy / Corp Dev. Multiple buyers per logo. Platform play, not a one-and-done sale.

The ultimate market signal for me is Bryan Schreier from Sequoia. He was the earliest institutional investor in Qualtrics and sat on its board for years. He's literally been quoted saying he'd "drooled over" disrupting the market research category for over a decade. The guy who funded the incumbent is now funding the company eating its lunch.

Hard to write a better setup.

One-line version: you ask a plain-English research question, Listen designs the study, finds the participants, conducts AI-moderated voice/video interviews in 100+ languages, and ships you analysis (with quotes, video clips, slides) overnight.

What used to be 6 weeks and $100K is hours and a fraction of the cost.

Picture this. You're a CPG brand launching a new high-protein snack, and you want to test two pack designs with Gen Z women who shop at Whole Foods. You type that into Listen:

Why this isn't an AI wrapper. Three real moats: the 30M+ respondent pool (years to build, real ops to maintain), workflow lock-in (centralize research in Listen's "Mission Control" and every past study becomes a searchable archive), and enterprise trust (SOC 2 Type II, GDPR, ISO 42001, doesn't train on customer data).

The customer ROI numbers from the case studies are unreal:

That's the AE's dream: named customer logos, real ROI numbers, and a buyer who's already pissed off at her current vendor.

GTM leadership - Zack Van Zant, VP of Revenue, at the helm. He’s one of the sharper, cerebral GTM leaders I’ve come across and has had great runs @ Mixpanel, Asana, and most recently Persona. He’s someone our candidates come back from interviewing with and say “I want to work for that guy, feels like he just gives a shit and is a great blend of EQ/IQ.”

Alfred Wahlforss (CEO, @itsalfredw) is Swedish/Finnish, did his graduate work at Harvard, and has been working on AI-moderated qualitative research as an academic line of work since before it was a startup. Prior YC company: Bemlo (W22). Right before Listen, he and Florian shipped BeFake, an AI avatar app that hit 20K downloads in a single day at Harvard. Listen Labs (originally "Merlin AI") came directly out of trying to understand BeFake's users at scale.

Florian Juengermann (CTO) is a German national champion in competitive programming, an IOI medalist, and a 4x ICPC World Finalist. Worked on motion planning at Tesla Autopilot reporting to Elon.

The founding engineering team is scary in the best way. 3 IOI medalists on the team (~30% of eng). Tobias Schindler (founding eng) is CMU, ex-Jane Street, ex-Tesla Autopilot. Multiple ICPC medalists, plus ex-Affirm, ex-Apple, ex-Rippling, ex-Bain across the broader team.

Investors are stacked:

Offices: SF HQ at South Park and NYC (just opened). In-person culture, ~50 people, targeting 100+ by end of 2026.

Culture tells:

Then there's the Alfred quote that should get every AE's attention:

The longer version of the TL;DR up top:

The problem is real and the buyer is already begging for it.

This is the rarest setup in B2B sales: the buyer already knows the incumbent sucks. You don't need to teach them why surveys and focus groups are broken. They've lived it for 20 years. Heads of Insights at Microsoft, Sweetgreen, Robinhood, P&G, and Nestlé are giving on-the-record quotes about how slow and expensive their current vendors are.

The market is massive and the incumbents can't respond.

$84B+ market research turnover, $150B+ if you take the broader insights industry. Qualtrics is a 24-year-old product. Kantar and Ipsos are €2-3B revenue services businesses that can't rebuild around an LLM without burning the boat. Listen is going after every one of those budget lines, and Sequoia's Schreier (the OG Qualtrics investor) is on the cap table.

The deal sizes (and the comp) are real.

We're talking enterprise ACVs at named Fortune 500 logos. Listen is replacing $10M+ Qualtrics line items and $100M+ agency budgets inside single F500 accounts. The land is six figures, the expand is much bigger. And the comp follows the deal sizes: top AEs are pulling incredible W2s. The next wave is being hired right now because the first wave is getting promoted.

The traction is undeniable.

15x ARR growth in 9 months. 8 figures in ARR. 1M+ interviews. 30M+ respondent pool. Hundreds of enterprise customers. You're joining at the moment they pour fuel on the fire, not at the experimental stage.

The backing is generational.

$100M raised across Sequoia (with the OG Qualtrics partner), Ribbit (joining as a customer first), Conviction, Pear VC (3 rounds in a row), Evantic, and Nat Friedman. They're building a real moat (30M panel + workflow lock-in + enterprise compliance) at the exact moment everyone else is shipping ChatGPT wrappers.

The career upside is real.

Series B is the best moment to join an AI-native company on the hockey stick. Late enough that the product is real and the brand opens doors. Early enough that you're inside the "first 100" and writing the GTM playbook, not inheriting it. AE → Senior AE → Lead → Manager → Director in 2-3 years, not 7. If Listen plays out the way Qualtrics and Gainsight did, the early GTM hires will be sitting on a lot of equity in a $5B+ outcome.

You'll actually be set up to succeed.

The product converts. The brand is hot (when's the last time a Series B startup got 5M social impressions on a hiring stunt?). Customer logos like Microsoft and Anthropic open every door on outbound. And the AEs being booked 9am to 9pm isn't grim, it's the inbound demand every seller dreams of.

If you're interested, check out their open roles or DM me on LinkedIn and I'll make an intro.

🙂