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Marloo is building an AI-powered platform to transform how financial advisers work, with a white-glove approach to customer service. We seek a high-agency operator who can own initiatives and also build scalable solutions using AI and automation.
You will work directly across product, growth, and go-to-market teams, turning customer conversations into insights and leveraging internal tools to reduce repetitive work.
Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.
Financial advisers carry an extraordinary responsibility. They guide people through the most important financial decisions of their lives. For too long the tools available to them have been unworthy of that responsibility.
We are building the AI partner that changes that. Not a notetaker, but the infrastructure the profession has always needed and never had.
The customer comes first at Marloo: they're why we're here. We take pride in providing a white-glove experience to them as we work to create the first advice-tech experience that feels truly magical.
Backed by Blackbird Ventures, the first and largest investor in Canva. In under a year we have onboarded 650+ firms across six countries with almost zero churn. We are at the beginning of something significant and the momentum speaks for itself.
AIOps at Marloo is the team that helps Marloo operate at the scale most companies need ten times the headcount to achieve. We build internal tools, growth loops and AI workflows. We also do the hands-on work needed to keep customers delighted and the business moving.
We are looking for a high-agency operator who can also build. You might be an ex-consultant, startup operator, analyst or ambitious generalist. You need to be comfortable using AI to turn messy business problems into working systems, and excited to support advisers in having a best in class experience on our platform.
What you'll do: Own the work, then build the leverage.
You're a fit if
Salary: $30/h. Exceptions on a case-by-case basis and determined relative to open compensation standards. Happy to discuss what that would look like for you specifically during our interview process.