Principal Generative Engine Optimization Strategist - Oceania

Orix Digi; Sydney; Hybrid; AUD 180,000 - 260,000; Full time

Job summary

Orix Digi in Sydney hybrid is seeking a Principal Generative Engine Optimization Strategist for Oceania to own AI search visibility outcomes and translate demand signals into measurable pipeline and revenue impact.

You will collaborate with cross-functional squads across Oceania, drive KPI governance, run weekly optimization cycles, and communicate with stakeholders to improve execution quality and speed.

Qualifications

• 10+ years of experience in AI search visibility optimization.
• Hands-on capability with entity mapping, answer-engine optimization, schema.
• Strong communication and stakeholder management in cross-functional environments.
• Data-informed decision making with comfort in KPI and performance analysis.
• Demonstrated ownership mindset with the ability to execute against deadlines.

Responsibilities

• Own end-to-end delivery for Generative Engine Optimization Strategist initiatives, from planning through execution and optimization.
• Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.
• Run structured experiments and document performance learnings for scaling decisions.
• Collaborate with adjacent teams to align creative, technical, and operational dependencies.
• Maintain QA discipline, reporting clarity, and leadership-ready status updates.

Skills

AI search visibility

Entity mapping

Answer-engine optimization

Schema

Communication

Stakeholder management

Data-driven decision making

Deadline execution

Job description

SEO & Organic Growth

Principal Generative Engine Optimization Strategist - Oceania

Own AI search visibility optimization outcomes for Oceania markets by translating demand signals into measurable pipeline and revenue impact.

Role Overview

Position scope, strategic mission, and operating context.

Role Mission

Drive reliable execution in AI search visibility optimization with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication.

Business Context

• You will work with cross-functional squads supporting campaigns and delivery systems across Oceania markets.
• This role contributes to our region-country-city operating model and reinforces commercial accountability.
• You will partner with strategy, delivery, and analytics leads to improve execution quality and speed.

Role Snapshot

• Department: SEO & Organic Growth
• Employment Type: Full Time
• Work Model: Hybrid
• Primary Location: Sydney (Hybrid) with Oceania collaboration

Core Responsibilities

• Own end-to-end delivery for Generative Engine Optimization Strategist initiatives, from planning through execution and optimization.
• Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.
• Run structured experiments and document performance learnings for scaling decisions.
• Collaborate with adjacent teams to align creative, technical, and operational dependencies.
• Maintain QA discipline, reporting clarity, and leadership-ready status updates.

Capabilities required to perform the role at a high level.

Required Experience

• 10+ years of experience in AI search visibility optimization.
• Hands-on capability with entity mapping, answer-engine optimization, schema.
• Strong communication and stakeholder management in cross-functional environments.
• Data-informed decision making with comfort in KPI and performance analysis.
• Demonstrated ownership mindset with the ability to execute against deadlines.

Preferred Qualifications

• Experience working across multi-country or multi-region delivery environments.
• Track record improving conversion quality, efficiency, or operational reliability.
• Confidence in SOP documentation and process governance.

Hiring Process

Structured selection focused on capability, execution quality, and team fit.

1. Step 1: Application Review

   Capability evidence and role fit are assessed against clear decision criteria.

2. Step 2: Role and Experience Screening

   Capability evidence and role fit are assessed against clear decision criteria.

3. Step 3: Practical Assessment

   Capability evidence and role fit are assessed against clear decision criteria.

4. Step 4: Leadership Interview

   Capability evidence and role fit are assessed against clear decision criteria.

5. Step 5: Offer and Onboarding

   Capability evidence and role fit are assessed against clear decision criteria.