Product & Growth Analytics Lead

Company Overview:

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors.

Job Description:

The Growth Analytics Lead owns adoption and expansion across our client base. Retention and daily usage are already at levels we have not seen before, so the constraint is no longer persuasion but distribution: how quickly we get the product into more hands, and what is standing in the way. The role sits in the Strategy & Operations team, reports directly to the CEO, and owns a number rather than a function.

Responsibilities:

Activation: Owning what happens between a seat being provisioned and that person using Model ML four or more days a week, and deleting as much of the onboarding as possible.

Account Expansion: Understanding what makes a deployment spread from one team to a whole division, then building the mechanisms that make it happen rather than waiting for it to.

Surface Adoption: Driving daily usage of the mobile app, plugins and features that users currently never find. Getting the right surface in front of the right user.

Usage Growth: Under our pricing models usage is revenue. Owning the understanding of it and the work to move it.

Instrumentation: Specifying the telemetry needed to answer growth questions and working with product and engineering to get it built.

Building and Shipping: Forming a view, building the thing, measuring whether it worked, then keeping it or killing it. Not briefing an analyst and waiting.

Experimentation: Designing tests where they are worth running, and knowing when the right answer is a directional read and a decision instead.

What you can expect:

It won't be easy; in fact, it will be very hard

BUT, it will be a lot of fun

You need to be comfortable with being uncomfortable; timelines will change, priorities will most likely shift

Be prepared for an exciting, fast-paced journey where you’ll learn a lot, take on meaningful challenges, and grow along the way.

Requirements (what "good" looks like):

Demonstrable experience moving a growth number in an enterprise or B2B environment. Consumer growth, performance marketing and funnel optimisation backgrounds do not transfer to this role.

Genuinely strong data capability. You write SQL, navigate a warehouse, and work in dbt and a modern BI layer without support.

A bias to building rather than proposing. Where something can be built, scripted or automated yourself, you do it.

Skepticism about your own analysis, and the judgement to separate causation from correlation under pressure to ship.

Strong academic background from tier 1 institutions.

Excellent written communication. We value brevity.

Ability to work independently and make autonomous decisions.

Based in our London office, nine to nine, five days a week. The founders and engineering leadership keep the same hours.

Experience in or selling to financial services is a bonus but not required.

What We Offer:

Competitive salary + equity

Performance-based incentives.

A direct reporting line to the CEO and a seat alongside the founders.

Ownership of a function that does not currently exist here.

Supportive and innovative work environment.

About the interview

Our Process: We're very conscious of everyone's time, so we want to make the process as efficient as possible.

Call 1: 30-minute informal chat with the Talent team. If you proceed:

Call 2: 30-45 minute hiring conversation with a member of Strategy & Operations

Call 3: 30-minute call with Chaz (CEO)