This role has closed 1mo ago. It is no longer on Model ML's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.

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Model ML

Engagement Manager (Paris)

Model ML · Product and Growth

Paris

Mid-level

Solutions & Field

Last seen 1mo ago

Posted
2mo 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

This role has closed. It's kept as a record — see Model ML's open roles or the similar live roles below.

See Model ML's open roles

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.