Advanced Navigation is the world’s most determined innovator in AI robotics and navigation technologies across land, air, sea and space applications. Founded on a culture of research and discovery, Advanced Navigation's mission is to be the catalyst of the autonomy revolution. Fields of expertise include artificial intelligence, underwater sonar, GNSS, radio frequency systems, inertial sensors, robotics, quantum sensors and photonics.
Today, Advanced Navigation is a supplier to some of the world's largest companies, including Airbus, Boeing, Google, Tesla, NASA, Apple, and General Motors. Discover it for yourself: https://youtu.be/F7uAqs1gtuk
OVERVIEW OF ROLE
As a Senior Product Analyst, you will bridge the gap between complex hardware/software engineering capabilities and market demands. You will be responsible for translating field-testing, usage data, and market dynamics into actionable insights that shape the product roadmap for our flagship navigation and robotics verticals. This is a high-impact role requiring deep data literacy, product discovery frameworks, and the ability to thrive in a deep-tech engineering environment.
ROLES & RESPONSIBILITIES
1. Product Data Analytics & Insights
Own the end-to-end data pipelines for product performance, telemetry, and customer usage behavior.
Define, track, and report on core Product Team OKRs and feature adoption metrics.
Conduct complex data modeling to evaluate how software-enhanced hardware optimizations impact system performance across diverse applications (e.g., aerospace, maritime, mining).
2. Product Discovery & Strategy Support
Partner with Senior Product Managers to lead product discovery phases using data-backed hypotheses and design thinking frameworks.
Model ROI and conduct financial/strategic planning for new product updates, evaluating target commercial opportunities globally.
Perform competitive intelligence and market sizing analysis within the defense, autonomous vehicles, and subsea robotics sectors.
3. Cross-Functional Collaboration
Act as the analytical "glue" uniting R&D, Engineering, Sales, and Customer Support.
Synthesize raw technical field-testing data and customer support escalations into prioritized feature requests for engineering teams.
Collaborate with data engineering and platform teams to design, scale, and optimize internal product telemetry tools.
4. Ownership & Continuous Improvement
Drive accountability by establishing robust data-governance standards for how the product team measures success.
Champion a "Progress over Perfection" mentality by delivering rapid prototypes of dashboards and insights, iteratively refining them alongside product shifts.
QUALIFICATIONS, EXPERIENCE & SKILLS
R&D
Sydney, Australia
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