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, Local Globe, QED, 13books, and other top global investors.
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.
- 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.
- 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
- 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.
About The Interview- 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 Raghav (EMEA Lead)
- Call 4: 20-minute call with Adam (COO)
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