Senior Engineering Manager, Progressive Onboarding and Funnel Optimisation

About the role

You will own the end to end technology strategy that enables millions of customers to start and complete their financial journey through AI powered acquisition experiences. This role is responsible for driving measurable business outcomes specifically in conversion, time to value, and engineering productivity for the onboarding and discovery funnel. You will develop and lead high performing engineering teams to deliver scalable and reliable solutions in a fast paced environment. The position requires a strong focus on experimentation, data driven insights, and continuous improvement across the customer acquisition lifecycle. You will partner closely with product and design to translate business goals into technical execution and roadmap priorities. Success in this role is defined by your ability to influence stakeholders and deliver robust platforms that empower both customers and merchants.

Key facts

What you'll do

Lead multiple engineering teams to build ownership, quality, and continuous improvement across customer acquisition and onboarding journeys.

Enhance the technology for customer discovery and joining by leveraging AI to design high impact acquisition journeys for millions of users.

Apply strong background in growth engineering, digital onboarding, and customer acquisition platforms to solve complex problems.

Demonstrate experience building and developing high performing engineering leaders and Engineering Managers through mentorship and coaching.

Show modern cloud based software engineering and distributed systems knowledge to design scalable and resilient architectures.

Deliver large scale customer facing digital products focusing on onboarding, payments, identity, and ecommerce experiences.

Use experimentation, A/B testing, and data driven insights to iteratively improve customer journeys and business outcomes.

Work with modern engineering practices and technologies including cloud platforms, AI enabled development tools, and customer personalisation capabilities.

Enable stakeholder management skills to influence across Engineering, Product, and Design functions effectively.

Adopt a collaborative leadership style that empowers teams, drives accountability, and enables continuous improvement.

Embrace AI and new tools to adapt, learn, and grow within the evolving technology landscape.

Practise effective risk management as part of leadership responsibilities and decision making.

Operate company values of Customer First, Own It, Stronger Together, and Change the Game in all work and interactions.

Ensure compliance with visa requirements and eligibility to work in Australia for all team members and project activities.

Requirements

A Bachelor's or Master's degree is held and must be demonstrated through verified credentials.

Experience leading multiple engineering teams within a product led technology organisation is brought to this role from previous positions.

A strong background in growth engineering, digital onboarding, or customer acquisition platforms is possessed and evidenced through past work.

Experience building high performing engineering leaders and developing Engineering Managers is demonstrated with concrete examples.

Modern cloud based software engineering and distributed systems knowledge is shown through hands on implementation and architectural decisions.

Large scale customer facing digital products across onboarding, payments, identity, or ecommerce have been delivered and launched successfully.

Experimentation, A/B testing and data driven insights are used systematically to improve customer journeys and business outcomes.

Modern engineering practices and technologies including cloud platforms, AI enabled development tools and customer personalisation capabilities are worked with regularly.

Stakeholder management skills enable influence across Engineering, Product, and Design without direct authority.

A collaborative leadership style empowers teams, drives accountability, and enables continuous improvement at individual and team levels.

AI and new tools are embraced to adapt, learn, and grow within the technology landscape and keep pace with industry changes.

Effective risk management is practised as part of leadership responsibilities including identifying, assessing, and mitigating potential issues.

Company values of Customer First, Own It, Stronger Together and Change the Game are operated in line with daily decisions and behaviors.

Eligibility to work in Australia is a mandatory requirement for this position and must be maintained throughout employment.

Practical notes

Must be eligible to work in Australia.

Typical interview steps

Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.

Good to know

Roles in this field focus on building and maintaining platforms that enable customers and merchants to transact with confidence.

Common tools include cloud platforms, distributed systems, experimentation frameworks and AI enabled development tools.

Success depends on strong stakeholder influence across product, engineering, and design functions.

Continuous learning and adaptation to new tools are essential in this type of technology leadership position.

Career growth

Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.