Senior Director – Machine Learning, AI

Role Overview

• As the Senior Director
• Machine Learning and AI, you are the driving force for how Auror harnesses ML and AI to accelerate our mission of reducing retail crime.
• Lead our Data Science organisation and partner closely with Product, Engineering, Customer, and our Executive Team to define how AI becomes a core strategic lever for Auror.
• Define and deliver Auror’s 3 year AI & ML strategy, ensuring it strengthens customer value, business growth, and our position as the global leader in responsible AI for retail crime intelligence.
• Partner with the CPO and Mission Control to shape strategic investment in AI, bringing deep expertise and pragmatic decision-making to the table.
• Set a clear vision for how ML/AI accelerates our mission today, while scanning the horizon for what comes next, this includes new technologies, new product directions, and new opportunities for impact.
• Champion AI adoption across Auror by building organisational confidence, raising literacy, and role-modelling best practice.
• Represent Auror with customers, partners, government agencies, and industry forums, shaping the narrative on how AI combats retail crime.
• Build strategic partnerships with research institutions, technology providers, and startups to accelerate innovation.

Requirements

• Significant experience leading AI/ML functions, with a proven track record of shaping and executing enterprise-level AI strategy.
• Demonstrated success deploying large-scale ML systems into production environments that deliver measurable business or customer value.
• Strong proficiency in modern ML techniques, frameworks, and tooling, with the ability to guide teams using Python and contemporary ML/AI stacks.
• Deep experience with cloud-based ML ecosystems and MLOps practices, including model lifecycle management, monitoring, and continuous improvement.
• A builder at heart, you grow systems, strategies, and high-performing teams, with a record of leading and scaling Data Science or ML organisations.
• You balance speed and pragmatism, helping teams move from “why not” to “how might we.” and making experimentation feel safe and purposeful.
• You anticipate emerging AI trends and position Auror to leverage them responsibly and commercially
• You’re an excellent communicator who is able to influence across teams, engage the ELT, and contribute confidently at Board level, helping leaders and teams see what’s possible with AI while keeping a clear line of sight to practical outcomes.
• You are confident as the expert voice in the room, able to challenge assumptions and guide leaders toward practical, impactful AI adoption.
• You see leadership as a multiplier, you grow leaders who can operate strategically and execute with excellence, and grow the next generation of AI talent.
• You view AI as a strategic differentiator, and you know how to turn cutting edge science into real customer and business value.

Tech Stack

• Cloud
• Python

Benefits

• Competitive salary Range: Depending on level of experience of USD$200,000
• $260,000 (PL5 / PL6)
• Annual bonus: discretionary bonus based on company revenue targets
• Employee share scheme: You’ll own part of a company making a real difference!
• Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.
• Shorter work weeks (at full pay): Everyone gets Friday afternoons off, so you can start your weekend early, and do more of whatever it is that makes you happy.
• Health Care Plan (Medical, Dental & Vision): Auror covers 100% of the cost of your health insurance plan with Anthem & Metlife.
• Focus on mental and physical health: We understand how vital our health is and have policies to support your wellness, including: Wellness Days, and up to $500 USD, for expert sessions every year.
• Family-friendly: We offer comprehensive paid parental leave
• 12 weeks for birth parents and 6 weeks for non-birth parents following birth, adoption, or surrogacy, available to all Aurors from day one.
• Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.
• Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.