This role has closed 1w 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.
Verified by our engine · Posted 2mo ago
- Posted
- 2mo ago
- Workplace
- On-site
- Salary
- Not disclosed
- Visa sponsorship
- Not specified
Posted on 19 August 2026
Work model: On-site
Salary range not shared by the company
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 rolesCompany 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 Enterprise Account Executive will lead new business for Model ML in the UK across banks, advisory firms, private equity and asset managers. You’ll set the UK sales strategy, own the full sales cycle from lead generation to signed contract, and help build the UK sales team as we scale.
Responsibilities:
Build and own a pipeline of new logos across private equity firms, investment banks, asset managers and consultancies.
Develop and run the sales strategy for the UK region.
Build relationships with senior decision-makers and key industry stakeholders.
Run enterprise sales cycles through procurement, legal and security review.
Bring in product specialists for demos and pilots, then close.
Work with Coverage, Product and Engineering to give clients a seamless experience, and bring client feedback back to the product.
Represent Model ML at industry events and conferences to build the brand and generate leads.
Forecast accurately and hit a quarterly number.
Requirements:
5+ years carrying a quota in enterprise software or data sales to financial services.
Top-performer record: over quota in most years, with proof.
Has closed six-figure contracts with large banks, funds or advisory firms.
Strong academic background from a tier-1 institution.
Excellent communication, organisation and interpersonal skills.
Able to work independently and make decisions on your own.
Based in London, and willing to travel within the region as needed.
Nice to have:
Startup or early-stage sales experience, ideally scaling a sales function in a venture-backed company.
An earlier front-office career in banking, private equity or tier-1 consulting.
MBA from a top business school.
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 + 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 a member of our Product & Growth team
Call 2: 30-minute with a Head of Sales
Call 3: 20- minute call with Natalie (COS)
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.