Verified from career page · Posted 1mo ago

Model ML

Engagement Manager (Madrid)

Model ML · Product and Growth

Madrid

Mid-level

Solutions & Field

Last seen 2h ago

Posted
1mo ago

Posted on 19 August 2026

Workplace
On-site

Work model: On-site

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

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 Engagement Manager (EM) owns the end-to-end customer outcome: translating client problems into scalable Model ML workflows, running clean operating cadence, and driving adoption through clear governance and communication.

Responsibilities (aligned to EM Framework):

Product Quality (workflows + platform judgment): Turn client problems into scalable, measurable workflows. Balance client needs with platform constraints. Build reusable playbooks, templates, and demo assets. Stay current on product direction and translate updates into field-ready examples.

Organisation (systems + transparency): Maintain clean tracking across dashboards, hubs, and Notion pages. Keep usage, adoption, and health metrics accurate and up to date. Run a clear delivery plan (owners, dates, dependencies) and surface risks early.

Communication (high-signal alignment): Prevent surprises. Send agendas before meetings, capture decisions, and publish action logs with owners and due dates. Communicate trade-offs and blockers early to both client and internal teams.

Client Relationships (governance + ROI): Build trusted, data-driven relationships. Own trial → conversion → renewal motion in partnership with Growth. Drive adoption through builders, measure ROI, and turn feedback into a concrete plan with Engineering and Product.

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):

5+ years experience in private equity, investment banking, or tier 1 consultancies

Demonstrated ability to turn ambiguous client asks into scoped delivery plans and measurable outcomes

Strong technical fluency: can reason about workflows, data, and failure modes (you do not need to be an engineer, but you must be credible with one)

Excellent operational hygiene: reliable tracking, documentation, and governance

Clear, proactive communicator who escalates early and closes loops

Comfortable operating autonomously in a fast-changing environment

Willingness to travel within the region as needed

What We Offer:

Competitive salary + equity

Performance-based incentives

Opportunity to be instrumental in our expansion into the market

Supportive and innovative work environment

To conclude, we're building a team of like-minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards our very clear revolutionary mission. If you match this description, buy into that mission and you're at a career stage where you're ready to make your defining statement to the world, please apply.

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 intro call with an Engagement Manager

Call 2: 30-minute with a Head of Engagement Management

Call 3: 30-minute deep dive with Adam (COO)

Call 4: 20-minute call with Nat (CoS)

About Model ML

Model ML builds agentic AI for financial services — systems that read across the data sources and applications an analyst uses and then do the work, rather than summarising it. London, $75m Series A. One of the larger boards on this list, and it publishes through Nodi rather than a mainstream ATS.

Apply at Model ML

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