Today companies spend over $1T to bring customers to the door, but $19 of every $20 they spend does not convert to revenue.

Companies have no choice other than to dedicate large engineering and data science teams to manually build more relevant, higher converting experiences for different customer segments.

Mutiny is a no-code AI platform that helps marketers convert their top of funnel demand into revenue, without engineers. Mutiny gives marketers everything they need to drive revenue and prove it — from data and analytics to AI-powered recommendations and content writing.

We are backed by Sequoia Capital, Tiger Global, Insight Partners, YCombinator and CMOs from some of today's fastest-growing tech companies including AngelList, Carta, Gong, Hopin, Salesforce and Snowflake.

We moved on over to something that was just beyond paid traffic because although we wanted to keep working on paid, we tried to find other quick wins.

And so industry personalization on the organic traffic was massive. And we recognize using Clear Bit, which is one of the sponsors and partners of this event, is how can we identify the visitor and show them the experience that matters most.

And you'll see here on the box section that even something as small as the H2 for healthcare practices, because we can identify healthcare prospects as they come to our website is connecting them with a tone and a voice.

Having worked in healthcare before, I understood that you can call a healthcare business, you can call them a company, but realistically, whether they're a large hospital or there might be a small dental practice, they're all thinking of themselves as a practice.

And so by using this language and using the verbiage that works best for that given audience, that really clicks with them. 

And we saw an 86% lift on this experience alone, just by changing a couple of words around replacing company with healthcare practice and that can be really huge.

You'll notice one of my points here is not being so feature based, one thing you can't always rely on is not over indexing on the information you have.

So clearby might call a prospect of the healthcare, but there's a possibility that either might not be the case or they might not identify with that specifically. And so going into a feature based selling where I know what features these healthcare practices want to see, I can lean into that and mention those.

So even if they're not a healthcare practice, even if they don't identify to be healthcare practice, it's okay because I can mention a feature that is agnostic and works from more than just that one specific place. Lastly, the core note is indices can be bundled. You don't need to get over granular for it.

Which means, hey, if I see an automotive industry in the textiles and mining, I can lump those together. It really depends on your company.

Timing is everything.

I ran a 100-person product team at Square and believe fintech was the best place to be in the last decade.

When I decided to leave, I evaluated 20+ industries. To my surprise, I landed in martech (marketing technology, not mars technology).

Here's why martech is about to have its "fintech moment".

But first some context on fintech.

In 2010, payments and banking were where innovation and creativity went to die. In 2020 the most boring industry became the "cool kid".

The next decade will be different for fintech. The winners are named, the upside is capped, and the space has shifted from invention to iteration. Yet the best talent is still pouring into this space.

Instead, the best talent should be looking for "the next fintech".

I came up with a simple framework to think through this. It came down to 3 things:

1. Uneven playing field

2. Neglected user experience

3. Proprietary and valuable data set

Let's break each down.

1. Uneven playing field

Square empowered a new class of business owners who were previously excluded from the industry.

2. Neglected user experience

Square replaced a $5k technical call to update your POS with a few taps on your phone.

3. Proprietary and valuable data set

Square modeled behaviors from transaction data to help customers in new ways (e.g. banking, payroll).

I spoke to 30+ startups (from crypto to healthcare) during my search. Gokul Rajaram has the gold standard for founder sense. But I was skeptical when he introduced me to Jaleh Rezaei, a martech founder he invested in.

C'mon...martech??

But Mutiny's vision perfectly mapped to my framework.

1. Uneven playing field

Mutiny is bringing the power of growth engineering currently restricted to tech giants like Uber to anyone with no-code tech.

2. Neglected user experience

Mutiny means you can launch your first growth experiment in an hour (and measure impact!) instead of begging engineering to implement a copy change on your website (and hopefully see it in a few weeks).

3. Proprietary and valuable data set

Mutiny is leveraging community data and AI to put the latest and greatest growth tactics at everyone's fingertips instead of operating in silos and throwing spaghetti at the wall.

And AI/ML are unlocking even more possibilities...

At the end of the day, frameworks can be a great way to analyze markets but you need to find your tribe.

After 4 months getting to know the Mutiny founders, I understood why they wrote their values before any code — my favorite is "work should feel like play".

I found my tribe.

This framework helped me decide to join Mutiny. It also convinced the best design leader I knew in fintech to join Mutiny — 👋 🧢 Mac Cormier

Now we're looking for impact-focused designers and PMs to build an iconic product and team together at Mutiny.

Our greatest differentiator comes from the machine learning models we’ve built that learn across our platform and help our customers make the content changes to convert their prospects.

This problem has not been solved in a decade and we are building an iconic company that will automate growth engineering for every company.

That's why Sequoia, YCombinator, and CMOs of companies such as Snowflake and Airbnb invested. Mutiny is beloved by some of the fastest-growing companies including Notion, Brex, Carta, Segment, Algolia and Qualtrics. We have quadrupled revenue year-over-year with even more on the horizon!

We are looking for our first data engineer to design the data architecture that will inform strategic business decisions and improve our product for years to come.

You will bring together several sources of product and company data into a cohesive and comprehensive data warehouse.

You will partner with our finance, data science, and product teams to build ETLs, a shared data vocabulary, and meaningful data abstractions. This is a unique opportunity to be the first in a new function at a scaling startup and build a foundation to scale our data organization.

What we’re looking for :

We are fully remote and offer H1-B Sponsorship.

Mutiny does not accept agency-submitted candidates for this posting.