SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 139,000 - 165,000 / annual
Auror is a 12-year-old company founded in New Zealand that helps retailers combat organized retail crime—a $150 billion global problem. The company works with major retailers across the US, Canada, Australia, New Zealand, and the UK, using technology and intelligence to reduce violent retail crime. Auror is expanding its recognition technology portfolio, including License Plate Recognition (LPR) and Auror Subject Recognition (ASR), and is seeking a Solutions Engineer to serve as a technical bridge between customers and the product.
This is a customer-facing technical role spanning pre-sales engineering, proof-of-concept design, and ongoing technical advisory. You will understand what customers are trying to solve, translate that into technical fit and deployment confidence, and partner with Product, Sales, Customer Success, and Implementation teams. You'll be equally comfortable handling skeptical IT managers and running live product demos for retail operations teams.
Key responsibilities include:
**Pre-Sales Engineering:** Join sales calls as the technical SME for LPR and ASR, handling product deep-dives and technical objections. Run technical discovery sessions to understand customer environments and integration requirements. Scope solutions accurately, identify risks early, and produce technical documentation including integration guides and site assessments. Deliver tailored demonstrations to 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 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. 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 with Product to surface technical objections and capability gaps. Partner with Customer Success to hand off technical context cleanly. 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.
The role reports to Jon Briegel, Director 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 approach to problem-solving: 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.
- Have or can quickly build working understanding of retail case management software and how Auror drives value through risk detection.
