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Salary: AUD 143,000 - 165,000 / annual
Auror is a 12-year-old company headquartered in New Zealand, working with major retailers globally to combat organized retail crime—a $150 billion problem. The company uses technology and intelligence to reduce violent retail crime, with an ambitious mission to cut it by 50% in 5 years. Auror is expanding its recognition technology portfolio, including License Plate Recognition (LPR) and Auror Subject Recognition (ASR), and is actively incorporating AI to enhance detection, customer support, and internal workflows.
As a Solutions Engineer, you will be a customer-facing technical expert operating at the intersection of pre-sales, proof-of-concept design, and ongoing technical advisory. You'll work with prospects and existing customers to translate their business problems into technical solutions, demonstrating confidence in handling skeptical stakeholders and technical objections. Your role spans multiple dimensions:
Pre-Sales Engineering: Join sales calls as the technical SME for LPR and ASR, handling deep-dives and capability questions. Run technical discovery sessions to understand customer environments, existing infrastructure, and integration needs. Scope solutions accurately, identify risks early, and produce technical documentation including integration guides, hardware compatibility requirements, and site assessments. Deliver tailored product demonstrations to both technical and non-technical audiences.
Proof-of-Concept Design: Design PoC scope and success criteria in partnership with the Technical Project Management team. Track and report PoC outcomes, synthesize findings for Sales and stakeholders, and feed learnings back into future PoCs and pitches.
Customer Technical Advisory: Serve as a trusted technical advisor on system architecture, data handling, privacy, and integration pathways. Guide existing customers through expansion requirements—new camera rollouts, additional stores, environment changes—covering placement, network configuration, lighting, and data flows. Translate customer technical requirements into briefs for Product and Deployment teams.
Cross-Functional Collaboration: Work closely with Product to surface recurring technical objections and capability gaps. Partner with Customer Success to hand off technical context as customers move from PoC to live use. Act as the sales team's technical backup, unblocking objections at critical decision moments. Feed field insights into sales enablement and product positioning. Build strong relationships with the Technical Project Management team to ensure PoC designs translate into successful deployments.
This role reports to Jon Briegel, Director of Solutions Engineering.
REQUIREMENTS:
- Hands-on experience in technical pre-sales, solutions engineering, or technical implementation roles working with facial recognition, LPR, CCTV, or physical security technology. Experience with facial recognition or subject recognition technology is a strong advantage.
- Comfortable discussing IT infrastructure at a high level and assessing how technology fits into customer environments, including practical requirements like Linux fundamentals or mobile device compatibility.
- Structured problem-solving approach: gather information methodically, identify root causes, avoid jumping to solutions prematurely.
- Comfortable with ambiguity and able to prioritize across multiple concurrent customers and opportunities.
- Take privacy and ethical use of technology seriously; confident discussing data handling, retention policies, and responsible AI.
- Self-starter who improves systems around you—fix documentation gaps and repeated questions.
- Working understanding of retail case management software and how Auror drives value through risk detection.
