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 transparent 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
Chance to be instrumental in our expansion into the market
Supportive and innovative work environment
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)
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📌 Engagement Manager (Sydney) Sydney On-Site
🏢 Nodi
📍 Sydney