Engagement Manager (Sydney) Sydney On-site

Nodi; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary + equity

Performance-based incentives

Market expansion impact

Supportive and innovative environment

Job summary

Model ML is seeking an Engagement Manager to own the end-to-end customer outcome, translating client problems into scalable AI workflows, running a clean operating cadence, and driving adoption through governance and clear communication.

You will convert client needs into delivery plans, maintain dashboards and Notion tracking, and collaborate with Growth, Engineering, and Product to optimize ROI in a fast-paced fintech environment.

Qualifications

• 5+ years in private equity, investment banking, or tier 1 consultancies.
• Turn ambiguous client asks into scoped delivery plans and measurable outcomes.
• Strong fluency with workflows, data, and failure modes (engineer not required).
• Excellent operational hygiene: tracking, documentation, governance.
• Clear, proactive communicator who escalates early and closes loops.

Responsibilities

• Turn client problems into scalable, measurable workflows.
• Balance client needs with platform constraints and build reusable assets.
• Maintain dashboards, hubs, and Notion pages; track adoption and health metrics.
• Run a delivery plan with owners, dates, dependencies; surface risks early.
• Publish agendas, capture decisions, and log actions with owners and due dates.
• Drive ROI through client journeys: trial → conversion → renewal with Growth, Eng, and Product.

Skills

Delivery planning

Stakeholder communication

Technical fluency

Operational hygiene

Autonomous work style

Travel flexibility

Job description

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

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)