Verified by our engine · Posted 1w ago

Model ML

Product Specialist - IBD

Model ML · Product and Growth

Madrid

Last seen just now

Posted
1w ago

Posted on 3 November 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

Listing history No signals observed

First seen 3 Nov 2026. Last checked 10 Nov, 23:17 UTC. We read each employer's own career page on a cycle and record what changes; this is what we observed, not a verdict on the role.

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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.The Role:

The Product Specialist is our subject-matter expert for investment banking teams in Spain. You’ll run demos, design use cases, check outputs, and grow usage inside each client bank and advisory firm.

Responsibilities:

Build and review templates: pitch books, company profiles, comps and precedent transactions, CIMs, teasers and buyer lists.

Run demos and workshops for M&A, ECM, DCM and coverage teams at investment banks and advisory firms.

Turn client problems into scalable workflows, balancing client needs with platform constraints.

Check AI outputs for accuracy before clients use them.

Work with Coverage to win and grow bank and advisory clients in Spain.

Turn pilots into bank-wide rollouts, and track usage and adoption.

Bring client feedback back to Product and Engineering.

Requirements:

4 to 8 years in investment banking (M&A, ECM, DCM or industry coverage) at a bulge-bracket, elite boutique or top advisory firm.

Has built pitch books, valuation materials and financial models (DCF, comps, LBO and merger models), and run live deals end to end.

Strong technical fluency: you can reason about workflows, data and failure modes.

Clear communicator who closes loops.

Fluent in Spanish and English.

Based in Madrid, and willing to travel within the region as needed.

Nice to have:

Experience covering Spanish or Iberian clients.

Startup, product or AI experience.

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 and 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.

What we offer:

Competitive salary and equity

Performance-based incentives

The chance to be instrumental in our expansion into the Spanish market

A 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 a member of our Product & Growth team

Call 2: 30-minute call with a member of our Product & Growth team

Call 3: 30-minute call with our Head of Product Specialists

Call 4: 30-minute call with our Chief of Staff

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