Senior Engineering Manager

About the role

This role leads engineering for AI powered self service at Zip. The Senior Engineering Manager guides product delivery for intelligent automation and conversational experiences.

Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.

Key facts

Requirements

The posting states a bachelor's degree requirement. A degree is required to ensure foundational knowledge for the role. Experience leading multiple engineering teams within a modern product led technology organisation demonstrates operational leadership. A strong background delivering customer facing AI enabled products, intelligent self service platforms or conversational experiences shows relevant domain capability. Strong software engineering expertise across cloud platforms, distributed systems and modern engineering practices provides technical depth. Experience with technologies such as LLM orchestration frameworks, Retrieval Augmented Generation (RAG), vector databases or enterprise AI platforms highlights specific technical familiarity. Knowledge of AI safety, evaluation frameworks and building secure, responsible AI solutions within regulated environments ensures compliant delivery. Experience developing Engineering Managers and building high performing engineering cultures develops team capability. Strong stakeholder management skills enable influencing across Engineering, Product, Design and Data & AI. A passion for balancing engineering quality, delivery excellence and customer outcomes drives sustainable results. A leadership style that empowers others, builds capability and creates a culture of continuous improvement fosters team growth. A mindset that embraces AI and new tools to adapt, learn and grow supports ongoing innovation. An aptitude for identifying and managing risks protects the business and customers. Adherence to Zip values: Customer First, Own It, Stronger Together and Change the Game guides everyday decisions.

Nice to have

Experience leading multiple engineering teams within a modern product led technology organisation is preferred. A strong background delivering customer facing AI enabled products, intelligent self service platforms or conversational experiences is valued. Strong software engineering expertise across cloud platforms, distributed systems and modern engineering practices is advantageous. Experience with technologies such as LLM orchestration frameworks, Retrieval Augmented Generation (RAG), vector databases or enterprise AI platforms is beneficial. Knowledge of AI safety, evaluation frameworks and building secure, responsible AI solutions within regulated environments is appreciated. Experience developing Engineering Managers and building high performing engineering cultures is desirable. Strong stakeholder management skills with the ability to influence across Engineering, Product, Design and Data & AI are advantageous. A passion for balancing engineering quality, delivery excellence and customer outcomes is welcomed. A leadership style that empowers others, builds capability and creates a culture of continuous improvement is encouraged. A mindset that embraces AI and new tools to adapt, learn and grow supports professional development. An aptitude for identifying and managing risks enhances decision making. Adherence to Zip values: Customer First, Own It, Stronger Together and Change the Game is expected.

Skills & tools

Fluency in modern software engineering practices and cloud platforms is typical for this type of role.

Good to know

Roles of this type typically involve leading engineering teams and coordinating delivery across product and design. Professionals in this field often work with emerging AI technologies and modern software practices. Day to day work includes balancing strategic technical direction with hands on execution. Career paths in this area usually develop through leadership and continuous learning. General tools in this domain include cloud platforms, AI frameworks and collaboration platforms.

About the company

Digital financial services span Australia, New Zealand, USA. Operations serve 6.0 million active customers. Annual transactions reach A$10.1 billion. Revenue totals A$4.0 billion. Cash gross profit hits A$1.0 billion. Fiscal year results reflect scale. Company focus remains financial services. Jobs seek talent for growth areas. Teams work on transaction systems and customer solutions. Opportunities exist across functions. Candidates join a large scale operator in multiple locations.