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Auror

SaaS platform for retail crime intelligence

Pre-Sales Engineer

Pre-Sales Solution EngineeringUpdated on Nov 11
Full-timeDenver, CO, USAHybrid

About the Job

Requirements

  • You have hands-on experience in a technical pre-sales, solutions engineering, or technical implementation role working with facial recognition, license plate recognition, closed-circuit television, or physical security technology; the specific path matters less than a genuine ability to translate customer needs into technical solutions.
  • You are comfortable discussing information technology infrastructure at a high level and assessing how the technology fits into a customer's existing environment, including practical requirements such as Linux fundamentals or mobile device compatibility that affect deployment.
  • You take a structured approach to problem-solving by gathering information methodically, identifying root causes, and understanding the problem before proposing solutions.
  • You are comfortable with ambiguity and able to prioritize across multiple concurrent customers and opportunities.
  • You take privacy and ethical use of technology seriously and are confident discussing data handling, retention policies, and responsible artificial intelligence with customers.
  • You are a self-starter who improves systems, including addressing documentation gaps and creating better answers to repeated questions.
  • You have or can quickly build a working understanding of retail case management software and how Auror drives value through risk detection, so you can speak to the software experience as well as the hardware behind it.
  • You should demonstrate strong alignment with Auror's Guiding Principles.

Responsibilities

  • Join sales calls as the technical subject matter expert for license plate recognition and Auror Subject Recognition, handling product deep-dives, capability questions, and technical objections.
  • Run technical discovery sessions to understand customer environments, existing infrastructure, and integration requirements.
  • Scope solutions accurately and identify risks or constraints early so Sales teams can set appropriate expectations.
  • Produce technical documentation and implementation plans for proposals, including integration guides, third-party hardware compatibility requirements, and site assessment summaries.
  • Deliver tailored demonstrations of Auror's Core product and its license plate recognition and Auror Subject Recognition solutions to technical and non-technical audiences.
  • Design proof-of-concept scope and success criteria—including hardware, network conditions, and use-case alignment—in partnership with the Technical Project Management team, which owns implementation.
  • Track and report proof-of-concept outcomes against established goals, synthesize findings for Sales and internal stakeholders, and feed learnings into future proof-of-concepts and pitches.
  • Serve as a technical advisor to prospects and existing customers, answering questions about system architecture, data handling, privacy, and integration pathways.
  • Guide existing customers through technical requirements for expansions, including new camera rollouts, additional stores, or environment changes, covering placement, network configuration, lighting, and data flows.
  • Translate customer technical requirements into clear briefs for the Product and Deployment teams.
  • Work closely with Product to surface recurring technical objections, capability gaps, and customer feedback that should shape the roadmap.
  • Partner with Customer Success to transfer technical context as customers move from proof-of-concept to live use and remain involved as new technical needs arise.
  • Provide the Sales team with technical support through the deal cycle by addressing objections and building customer confidence at key decision points.
  • Feed insights from the field into Sales enablement materials and product positioning.
  • Build a collaborative relationship with the Technical Project Management team to ensure proof-of-concept designs and technical requirements translate into scoped, successful deployments.

Desired Qualifications

  • Experience with facial recognition or subject recognition technology is a strong advantage.

About the Company

Auror

SaaS platform for retail crime intelligence

Auror offers a retail crime intelligence platform delivered as SaaS to help large retailers and law enforcement prevent theft and organized retail crime. The platform lets frontline staff report incidents in real time and loss prevention teams build cases, while centralized analytics identify repeat offenders and crime patterns. By securely sharing intelligence across participating retailers and with police, it creates a connected network that complicates criminal operations. The goal is to reduce theft and organized retail crime by strengthening detection, reporting, and collaboration between retailers and law enforcement.

Company size
201-500
Company stage
Series C
Total funding
$86.5M
Headquarters
Auckland, New Zealand
Founded
2012

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