Verified from career page · Posted 1mo ago
- Posted
- 1mo ago
- Workplace
- On-site
- Salary
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- Visa sponsorship
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Posted on 13 August 2026
Work model: On-site
Salary range not shared by the company
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: 30-minute call with Chaz (CEO)
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.