At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
The Role
We're looking for a Director of Customer Success to build and own our CS function across North America - one of the most strategically important regions in Auror's next phase of growth. This is a leadership role for someone who's done this before: who's led leaders, sat across the table from executives, and knows how to turn platform adoption into commercial outcomes.
You'll inherit a customer base most CS leaders only dream of: retail giants, fierce customer loyalty, low churn, and real appetite to go deeper. You'll directly lead our NA CS Lead, oversee their team, and manage select ICs. You'll set the bar for what world-class customer success looks like in this market, and you'll be a key voice in Auror's North American leadership team as we scale.
This role suits someone who gets energized by hard problems and great people - someone who wants to build a team that becomes a talent engine for Auror, not just run one that hits its numbers.
Responsibilities
Own the North America CS function
You're not inheriting a playbook - you're building the operating model for one of Auror's most strategic, fastest-growing regions. You'll set the strategy, own the metrics, execution, and have the final word on how NA CS shows up for customers and for the business.
Own the NA CS strategy end-to-end - from team structure and coverage model to the roadmap for how we scale coverage as the customer base grows
Be a core member of Auror's North America leadership team, with a direct seat at the table on regional GTM strategy
Represent the voice of NA customers in company-wide planning - you'll shape where Auror invests next
Build and lead a bench of leaders, not just a team
This is a lead-the-leaders role. You'll build the kind of team other people want to join and the kind of team that produces the next generation of CS leadership at Auror.
Directly lead the NA CS Lead and their team, plus manage select ICs
Recruit and develop CS talent at every level, building real career pathways
Set a high bar for performance and coach relentlessly toward it; you'll have hard conversations early and often, because that's how great teams get built
Create a culture where accountability and ambition coexist with genuinely caring about the customer and team member
Turn retention into a growth engine
You'll own a customer base most CS leaders would kill for - low churn, high strategic value, real appetite for expansion. Your job is to make sure we capture every bit of that upside.
Own retention across NA and support the expansion agenda in lockstep with Sales and Account Management. You think and operate like a commercial leader
Build the muscle for spotting expansion signals early: usage patterns, stakeholder shifts, new use cases - and turning them into pipeline for the Sales team to pick up
Define what \"great\" looks like in NA through clear, ambitious metrics, and hold your team to them - locally, and against Auror's global CS bar
Get ahead of problems before customers ever feel them
Build and refine proactive health monitoring across the NA book, catching risk signals early
Own escalation management for accounts - and be willing to get hands-on when it matters most
Turn customer feedback into product influence — you're a direct pipeline into roadmap and company priorities, not just a pass-through
Be the face of NA Customer Success - externally and internally
You'll help define what Auror looks like to the market, not just to existing customers.
Partner closely with the Director of Sales and Senior Director of Retail Partnerships to build a world-class, unified NA customer experience
Work with Marketing to build advocacy programs, referral engines, and customer stories that do real commercial work
Represent Auror at industry events and in thought leadership — you're comfortable being quoted, on stage, and in the room with senior retail executives
I've been with Auror for eight years - I joined as one of our first Australian hires in 2018, built out our CS function across NZ and Australia from the ground up, and now lead our global team from Denver, overseeing North America, the UK, Australia, and New Zealand.
Before Auror I spent years in SaaS scale-ups like Vend and Timely. I want commercially sharp teams who genuinely care about the customer experience and outcome, and have a great time doing it. I’ll push you to grow fast, back you when it's hard, and expect you to think commercially, not just operationally. We're solving a real problem for retailers, with a team I'm proud to be part of.
Outside of work, I'm a New Zealander still getting used to Denver's altitude and lack of ocean. I chase down good food and wine wherever I can find it, and most weekends you'll find me walking up and down Tennyson Street drinking coffee and eating croissants.
Deeply experienced. You've led Enterprise CS or Account Management teams in SaaS, at Director level or above. You know how to lead and inspire leaders, not just individual contributors.
Commercially minded. You see CS as a revenue function. You spot expansion opportunities instinctively and and support your team in driving commercial outcomes.
Confident in the room. You navigate complex customer hierarchies and senior stakeholders with ease. You can turn engagement data into a business narrative that resonates at the executive level.
A team builder. You know how to rally a team around a hard problem and get the best out of the people on it. You lead through influence as much as authority.
Proactive by nature. You act on leading indicators, not lagging ones. You'd rather prevent a fire than fight one.
Present in the office and willing to travel. You’re in our Denver office at least 2-3 days a week, creating the environment your team is energized to come to. You're comfortable getting in front of customers and at industry events regularly. You may be on the road 1-2 times per month.
Competitive salary range: Depending on level of experience, between $160,000 - $180,000 (PL5)
Annual bonus: Eligibility for a $11,000 bonus at the end of the financial year if we’ve hit our revenue goals together.
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.
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.
Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife.
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.
If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.
If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.
You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"ABOUT AUROR\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\nFounded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\nOur mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\nWe're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\n\nDIRECTOR OF CUSTOMER SUCCESS, NORTH AMERICA\n\nThe Role\n\nWe're looking for a Director of Customer Success to build and own our CS function across North America - one of the most strategically important regions in Auror's next phase of growth. This is a leadership role for someone who's done this before: who's led leaders, sat across the table from executives, and knows how to turn platform adoption into commercial outcomes.\n\nYou'll inherit a customer base most CS leaders only dream of: retail giants, fierce customer loyalty, low churn, and real appetite to go deeper. You'll directly lead our NA CS Lead, oversee their team, and manage select ICs. You'll set the bar for what world-class customer success looks like in this market, and you'll be a key voice in Auror's North American leadership team as we scale.\n\nThis role suits someone who gets energized by hard problems and great people - someone who wants to build a team that becomes a talent engine for Auror, not just run one that hits its numbers.\n\n\n\nResponsibilities\n\nOwn the North America CS function\n\nYou're not inheriting a playbook - you're building the operating model for one of Auror's most strategic, fastest-growing regions. You'll set the strategy, own the metrics, execution, and have the final word on how NA CS shows up for customers and for the business.\n\n - Own the NA CS strategy end-to-end - from team structure and coverage model to the roadmap for how we scale coverage as the customer base grows\n\n - Be a core member of Auror's North America leadership team, with a direct seat at the table on regional GTM strategy\n\n - Represent the voice of NA customers in company-wide planning - you'll shape where Auror invests next\n\nBuild and lead a bench of leaders, not just a team\n\nThis is a lead-the-leaders role. You'll build the kind of team other people want to join and the kind of team that produces the next generation of CS leadership at Auror.\n\n - Directly lead the NA CS Lead and their team, plus manage select ICs\n\n - Recruit and develop CS talent at every level, building real career pathways\n\n - Set a high bar for performance and coach relentlessly toward it; you'll have hard conversations early and often, because that's how great teams get built\n\n - Create a culture where accountability and ambition coexist with genuinely caring about the customer and team member\n\nTurn retention into a growth engine\n\nYou'll own a customer base most CS leaders would kill for - low churn, high strategic value, real appetite for expansion. Your job is to make sure we capture every bit of that upside.\n\n - Own retention across NA and support the expansion agenda in lockstep with Sales and Account Management. You think and operate like a commercial leader\n\n - Build the muscle for spotting expansion signals early: usage patterns, stakeholder shifts, new use cases - and turning them into pipeline for the Sales team to pick up\n\n - Define what \"great\" looks like in NA through clear, ambitious metrics, and hold your team to them - locally, and against Auror's global CS bar\n\nGet ahead of problems before customers ever feel them\n\n - Build and refine proactive health monitoring across the NA book, catching risk signals early\n\n - Own escalation management for accounts - and be willing to get hands-on when it matters most\n\n - Turn customer feedback into product influence — you're a direct pipeline into roadmap and company priorities, not just a pass-through\n\nBe the face of NA Customer Success - externally and internally\n\nYou'll help define what Auror looks like to the market, not just to existing customers.\n\n - Partner closely with the Director of Sales and Senior Director of Retail Partnerships to build a world-class, unified NA customer experience\n\n - Work with Marketing to build advocacy programs, referral engines, and customer stories that do real commercial work\n\n - Represent Auror at industry events and in thought leadership — you're comfortable being quoted, on stage, and in the room with senior retail executives\n\n\n\n\nYOU’LL BE REPORTING TO RUBY ARDEN, VP GLOBAL CUSTOMER SUCCESS 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]\n\nI've been with Auror for eight years - I joined as one of our first Australian hires in 2018, built out our CS function across NZ and Australia from the ground up, and now lead our global team from Denver, overseeing North America, the UK, Australia, and New Zealand.\n\nBefore Auror I spent years in SaaS scale-ups like Vend and Timely. I want commercially sharp teams who genuinely care about the customer experience and outcome, and have a great time doing it. I’ll push you to grow fast, back you when it's hard, and expect you to think commercially, not just operationally. We're solving a real problem for retailers, with a team I'm proud to be part of.\n\nOutside of work, I'm a New Zealander still getting used to Denver's altitude and lack of ocean. I chase down good food and wine wherever I can find it, and most weekends you'll find me walking up and down Tennyson Street drinking coffee and eating croissants.\n\n\n\n\nREQUIREMENTS\n\n - Deeply experienced. You've led Enterprise CS or Account Management teams in SaaS, at Director level or above. You know how to lead and inspire leaders, not just individual contributors.\n\n - Commercially minded. You see CS as a revenue function. You spot expansion opportunities instinctively and and support your team in driving commercial outcomes.\n\n - Confident in the room. You navigate complex customer hierarchies and senior stakeholders with ease. You can turn engagement data into a business narrative that resonates at the executive level.\n\n - A team builder. You know how to rally a team around a hard problem and get the best out of the people on it. You lead through influence as much as authority.\n\n - Proactive by nature. You act on leading indicators, not lagging ones. You'd rather prevent a fire than fight one.\n\n - Present in the office and willing to travel. You’re in our Denver office at least 2-3 days a week, creating the environment your team is energized to come to. You're comfortable getting in front of customers and at industry events regularly. You may be on the road 1-2 times per month.\n\n\n\n\nBENEFITS:\n\n - Competitive salary range: Depending on level of experience, between $160,000 - $180,000 (PL5)\n\n - Annual bonus: Eligibility for a $11,000 bonus at the end of the financial year if we’ve hit our revenue goals together.\n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - 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.\n\n - Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife.\n\n - 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.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n\n\n\n\n\nWHAT ARE THE NEXT STEPS?\n\nIf you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.\n\nIf you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.\n\nYou'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.\n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."},{"id":"42b934ed-675f-4ef2-8dc3-710ae9f4f3ba","title":"Engineering Lead (Subject Recognition / Edge)","department":"Product","team":"Engineering","employmentType":"FullTime","location":"Auror Auckland Office","secondaryLocations":[{"location":"Remote - New Zealand","address":{"postalAddress":{"addressCountry":"New Zealand"}}}],"publishedAt":"2026-08-25T03:55:48.869+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"1010","addressRegion":"Auckland","streetAddress":"Level 4, 37 Galway Street","addressCountry":"New Zealand","addressLocality":"Britomart"}},"jobUrl":"https://jobs.ashbyhq.com/auror/42b934ed-675f-4ef2-8dc3-710ae9f4f3ba","applyUrl":"https://jobs.ashbyhq.com/auror/42b934ed-675f-4ef2-8dc3-710ae9f4f3ba/application","descriptionHtml":"About Auror
At Auror, we’re empowering the retail industry to reduce theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Our current mission is to reduce violent retail crime by 50% in 5 years.
Founded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
The Role
As Engineering Lead (Subject Recognition / Edge), you'll lead one of the engineering teams responsible for one of Auror's most strategically important product areas. You'll provide technical and people leadership across Auror Subject Recognition (ASR), helping shape the technology that enables retailers to detect and respond to crime in real time.
A significant focus of the role will be taking FaceRec Edge from pilot to reliable, multi-site production. That means defining what a \"healthy\" deployment actually looks like across a fleet of cameras and on-prem servers, in Detection quality as well as uptime, and building the practice that keeps that estate reliable as it grows.
Working at the intersection of AI, distributed systems, and privacy conscious engineering, you'll ensure our platforms meet the highest standards of performance, reliability, and responsible use of technology.
Success in this role means growing a high performing engineering team that ships with confidence and consistency, delivers innovative Risk Detection capabilities, and enables Auror to continue expanding its impact around the world.
What you’ll do:
Lead Engineering the Subject Recognition On-Prem team
Lead engineering for Auror's on-prem face recognition platform — the edge devices, detection pipeline and vendor model integration — setting clear technical direction while keeping the team aligned to shared Risk Detection priorities and customer outcomes.
Run structured sprint rituals, including stand-ups, retrospectives and planning, keeping the team focused on delivering meaningful outcomes.
Define and Own Estate Health
Establish a concrete, agreed definition of a healthy deployment — per camera, per server, per site — spanning detection quality as well as availability, owned jointly with Product and Support.
Make estate health measurable and actionable, so it drives what the team works on rather than sitting on a dashboard.
Manage the complexity of running software at the edge
Help the team maintain a serviceable environment on edge computing devices that are not under our control.
You bring your experience and insight to help the team observe changes in performance, availability, and model detection accuracy then respond to those signals in order to deliver a software + services product that delights customers.
Make Model Upgrades an Organisational Capability
Own the go/no-go on face recognition model generations, grounded in evidence from shadowed production traffic rather than vendor benchmarks.
Broker operating-point decisions — the false-positive/false-negative trade-off — to an agreed position with Product and Trust & Safety, and hold our vendor to account on calibration and evaluation support.
Treat accuracy regression as a reliability concern: detection quality inside the observability framework, with drift detection and a rollout/rollback path that doesn't require a site visit.
Raise the Bar on Operational Excellence
Strengthen observability, incident response and escalation across edge and cloud, with blameless postmortems that change something.
Drive a deliberate, measured reduction in toil — shifting the team's time from firefighting to building capability.
Set clear engineering standards and drive pragmatic quality across systems where accuracy, latency and reliability directly impact customer trust.
Guide architectural decisions that evolve Risk Detection into scalable, service oriented platforms that support future growth without unnecessary complexity.
Grow the Team
Build and grow a high performing engineering team through coaching, mentoring and technical leadership.
Eliminate single points of failure through pairing, rotation and written documentation, and actively guard the team's sustainability through the pilot-to-production transition.
Champion Responsible Engineering
Champion responsible, privacy conscious engineering practices across Risk Detection, ensuring solutions meet regulatory expectations and retailer privacy requirements while enabling continued innovation.
Lead Agentic Engineering Processes
Embed governed, agentic AI practices across the team. Champion LLMs and agentic tooling as force multipliers for delivery, code review and testing, establishing repeatable workflows with appropriate guardrails, human oversight and quality gates. Continuously measure impact and share successful practices across Engineering.
This role reports to Jakob Sorensen, Director of Engineering.
![](\"https://app.ashbyhq.com/api/images/user-content/d96e780d-bbaf-408e-bbdf-f094db92ab99/7c56683c-8ede-4297-b6ab-fab56e800423/Screenshot%202026-07-27%20at%2012.29.44%E2%80%AFPM.png\")
I've spent 20 years in engineering, starting out in capital markets in Copenhagen before finding my home in SaaS. I began deep in the technical detail, building real-time pricing and financial risk platforms, and over the years found I loved helping teams and the people in them grow just as much as the systems we were building. That's taken me into leadership across a few different countries and domains, and what's kept me hooked the whole time is variety and genuinely hard problems.
Auror sits right at the intersection that matters most to me: An incredibly meaningful purpose with real-world impact and hard engineering problems. I lead in a way that's outcome-driven, authentic, people-centred and pragmatic. Growing leaders is the part of the job I find most rewarding, and underneath it all is high performance and psychological safety: I work hard to build environments where people can be honest, challenge each other, and learn out loud, because that's where the best teams come from. I'm hiring people who are curious, love solving problems, and do their best work for our customers as part of a team.
Originally from Denmark, I now call Auckland home with my wife Matilde and our three kids. Outside of work I'm an ultra marathon runner, a hobby guitarist and songwriter, and I once crossed the Atlantic as crew on a 44-foot sailing boat, an adventure which has shaped how I think about risk, adaptability and what actually matters.
Who we’re looking for
Proven technical expertise: Strong proficiency in C#, .NET Core (or newer), distributed and edge systems, cloud-native architectures (GCP preferred), coupled with the ability to understand technical decisions in the context of business value.
On-prem and fleet experience: Has owned infrastructure sitting on premises the team doesn't control, whether that's customer-sited hardware or another field-deployed context, with the sizing, patching, remote management and hardware lifecycle that entails.
Leadership experience: Demonstrated experience leading engineering teams, managing performance, and cultivating a culture of accountability and excellence.
Communication skills: The ability to distill complex technical concepts for a variety of audiences, including non technical stakeholders. Experience leading tradeoff calls with non technical stakeholders
Passion for integrating AI: Experience or interest in leveraging AI tools and LLMs as force multipliers for your team—not just following trends, but thoughtfully applying these technologies to enhance engineering practices, streamline workflows and accelerate delivery.
Big picture thinking: A strategic mindset that considers the broader business impact of engineering decisions, including scalability, performance, maintainability, and user experience when guiding architectural discussions.
Prioritisation and decision-making: Skill in helping teams navigate trade-offs between immediate value and long-term technical health, breaking complex initiatives into meaningful, shippable increments..
Passion for product quality: A strong understanding that technical excellence manifests as reliability, scalability, security, and data integrity, particularly crucial in our context of crime prevention and building safer communities.
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
Auror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
If you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.
What are the benefits like?
Competitive salary range: Depending on level of experience a starting salary of $142,500 - 172,500 (PL3).
Annual bonus: Eligibility for a $5,500 bonus at the end of the financial year if we’ve hit our revenue goals together.
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.
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 $750 NZD for expert sessions every year.
Health Care Plan: We prioritise looking after your health by offering cover under our premier health business insurance plan through nib health insurance - with Auror covering 100% of your premium.
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.
What are the next steps?
If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.
If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.
You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"About Auror\n\n \n\nAt Auror, we’re empowering the retail industry to reduce theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Our current mission is to reduce violent retail crime by 50% in 5 years.\n\n \n\nFounded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\n \n\nIn partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\n \n\nWe're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n \n\nThe Role\n\n\n\nAs Engineering Lead (Subject Recognition / Edge), you'll lead one of the engineering teams responsible for one of Auror's most strategically important product areas. You'll provide technical and people leadership across Auror Subject Recognition (ASR), helping shape the technology that enables retailers to detect and respond to crime in real time.\n\n\n\nA significant focus of the role will be taking FaceRec Edge from pilot to reliable, multi-site production. That means defining what a \"healthy\" deployment actually looks like across a fleet of cameras and on-prem servers, in Detection quality as well as uptime, and building the practice that keeps that estate reliable as it grows.\n\n\n\nWorking at the intersection of AI, distributed systems, and privacy conscious engineering, you'll ensure our platforms meet the highest standards of performance, reliability, and responsible use of technology.\n\n\n\nSuccess in this role means growing a high performing engineering team that ships with confidence and consistency, delivers innovative Risk Detection capabilities, and enables Auror to continue expanding its impact around the world.\n\n \n\nWhat you’ll do:\n\n - Lead Engineering the Subject Recognition On-Prem team\n \n - Lead engineering for Auror's on-prem face recognition platform — the edge devices, detection pipeline and vendor model integration — setting clear technical direction while keeping the team aligned to shared Risk Detection priorities and customer outcomes.\n \n - Run structured sprint rituals, including stand-ups, retrospectives and planning, keeping the team focused on delivering meaningful outcomes.\n\n - Define and Own Estate Health\n \n - Establish a concrete, agreed definition of a healthy deployment — per camera, per server, per site — spanning detection quality as well as availability, owned jointly with Product and Support.\n \n - Make estate health measurable and actionable, so it drives what the team works on rather than sitting on a dashboard.\n\n - Manage the complexity of running software at the edge\n \n - Help the team maintain a serviceable environment on edge computing devices that are not under our control.\n \n - You bring your experience and insight to help the team observe changes in performance, availability, and model detection accuracy then respond to those signals in order to deliver a software + services product that delights customers.\n\n - Make Model Upgrades an Organisational Capability\n \n - Own the go/no-go on face recognition model generations, grounded in evidence from shadowed production traffic rather than vendor benchmarks.\n \n - Broker operating-point decisions — the false-positive/false-negative trade-off — to an agreed position with Product and Trust & Safety, and hold our vendor to account on calibration and evaluation support.\n \n - Treat accuracy regression as a reliability concern: detection quality inside the observability framework, with drift detection and a rollout/rollback path that doesn't require a site visit.\n\n - Raise the Bar on Operational Excellence\n \n - Strengthen observability, incident response and escalation across edge and cloud, with blameless postmortems that change something.\n \n - Drive a deliberate, measured reduction in toil — shifting the team's time from firefighting to building capability.\n \n - Set clear engineering standards and drive pragmatic quality across systems where accuracy, latency and reliability directly impact customer trust.\n \n - Guide architectural decisions that evolve Risk Detection into scalable, service oriented platforms that support future growth without unnecessary complexity.\n\n - Grow the Team\n \n - Build and grow a high performing engineering team through coaching, mentoring and technical leadership.\n \n - Eliminate single points of failure through pairing, rotation and written documentation, and actively guard the team's sustainability through the pilot-to-production transition.\n\n - Champion Responsible Engineering\n \n - Champion responsible, privacy conscious engineering practices across Risk Detection, ensuring solutions meet regulatory expectations and retailer privacy requirements while enabling continued innovation.\n\n - Lead Agentic Engineering Processes\n \n - Embed governed, agentic AI practices across the team. Champion LLMs and agentic tooling as force multipliers for delivery, code review and testing, establishing repeatable workflows with appropriate guardrails, human oversight and quality gates. Continuously measure impact and share successful practices across Engineering.\n \n \n\nThis role reports to Jakob Sorensen https://www.linkedin.com/in/lindehammer/, Director of Engineering.\n\n[https://app.ashbyhq.com/api/images/user-content/d96e780d-bbaf-408e-bbdf-f094db92ab99/7c56683c-8ede-4297-b6ab-fab56e800423/Screenshot%202026-07-27%20at%2012.29.44%E2%80%AFPM.png]\n\nI've spent 20 years in engineering, starting out in capital markets in Copenhagen before finding my home in SaaS. I began deep in the technical detail, building real-time pricing and financial risk platforms, and over the years found I loved helping teams and the people in them grow just as much as the systems we were building. That's taken me into leadership across a few different countries and domains, and what's kept me hooked the whole time is variety and genuinely hard problems.\n\n \n\nAuror sits right at the intersection that matters most to me: An incredibly meaningful purpose with real-world impact and hard engineering problems. I lead in a way that's outcome-driven, authentic, people-centred and pragmatic. Growing leaders is the part of the job I find most rewarding, and underneath it all is high performance and psychological safety: I work hard to build environments where people can be honest, challenge each other, and learn out loud, because that's where the best teams come from. I'm hiring people who are curious, love solving problems, and do their best work for our customers as part of a team.\n\n \n\nOriginally from Denmark, I now call Auckland home with my wife Matilde and our three kids. Outside of work I'm an ultra marathon runner, a hobby guitarist and songwriter, and I once crossed the Atlantic as crew on a 44-foot sailing boat, an adventure which has shaped how I think about risk, adaptability and what actually matters.\n\n \n\nWho we’re looking for\n\n - Proven technical expertise: Strong proficiency in C#, .NET Core (or newer), distributed and edge systems, cloud-native architectures (GCP preferred), coupled with the ability to understand technical decisions in the context of business value.\n\n - On-prem and fleet experience: Has owned infrastructure sitting on premises the team doesn't control, whether that's customer-sited hardware or another field-deployed context, with the sizing, patching, remote management and hardware lifecycle that entails.\n\n - Leadership experience: Demonstrated experience leading engineering teams, managing performance, and cultivating a culture of accountability and excellence.\n\n - Communication skills: The ability to distill complex technical concepts for a variety of audiences, including non technical stakeholders. Experience leading tradeoff calls with non technical stakeholders\n\n - Passion for integrating AI: Experience or interest in leveraging AI tools and LLMs as force multipliers for your team—not just following trends, but thoughtfully applying these technologies to enhance engineering practices, streamline workflows and accelerate delivery.\n\n - Big picture thinking: A strategic mindset that considers the broader business impact of engineering decisions, including scalability, performance, maintainability, and user experience when guiding architectural discussions.\n\n - Prioritisation and decision-making: Skill in helping teams navigate trade-offs between immediate value and long-term technical health, breaking complex initiatives into meaningful, shippable increments..\n\n - Passion for product quality: A strong understanding that technical excellence manifests as reliability, scalability, security, and data integrity, particularly crucial in our context of crime prevention and building safer communities.\n\n - We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n\n \n\nAuror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n \n\nIf you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.\n\n \n\nWhat are the benefits like?\n\n \n\n - Competitive salary range: Depending on level of experience a starting salary of $142,500 - 172,500 (PL3).\n\n - Annual bonus: Eligibility for a $5,500 bonus at the end of the financial year if we’ve hit our revenue goals together.\n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - 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 $750 NZD for expert sessions every year.\n\n - Health Care Plan: We prioritise looking after your health by offering cover under our premier health business insurance plan through nib health insurance - with Auror covering 100% of your premium.\n\n - 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.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n\n \n\nWhat are the next steps?\n\n \n\nIf you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.\n\n \n\nIf you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.\n\n \n\nYou'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.\n\n \n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."},{"id":"570d8583-9f22-49ae-a1a7-58dd0f475c9e","title":"Senior Software Engineer (ASR - Edge)","department":"Product","team":"Software Engineering","employmentType":"FullTime","location":"Auror Auckland Office","secondaryLocations":[{"location":"Remote - New Zealand","address":{"postalAddress":{"addressCountry":"New Zealand"}}}],"publishedAt":"2026-09-11T03:57:11.520+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"1010","addressRegion":"Auckland","streetAddress":"Level 4, 37 Galway Street","addressCountry":"New Zealand","addressLocality":"Britomart"}},"jobUrl":"https://jobs.ashbyhq.com/auror/570d8583-9f22-49ae-a1a7-58dd0f475c9e","applyUrl":"https://jobs.ashbyhq.com/auror/570d8583-9f22-49ae-a1a7-58dd0f475c9e/application","descriptionHtml":"About Auror
At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.
Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
The Role
This is a brand new role at Auror, which means you’ll have real scope to shape it. Auror’s Subject Recognition (ASR) technology runs across a global edge estate, on-camera and on-server, in thousands of retail stores around the world.
Your role will be to help Auror own and evolve this edge capability. This includes making the estate observable, reliable, upgradeable and supportable at scale, while also developing new detection, recognition and AI capabilities as the technology evolves. You’ll help our support teams and customers’ Security Operations Centre (SOC) and IT teams identify and respond to issues before customers notice them, and give Auror the evidence needed to confidently improve the underlying models and functionality.
This brings a unique set of systems challenges, from debugging across device, container, host and network boundaries, to building the observability and evaluation tooling that tells us whether what we have deployed is working as intended in a remote environment Auror doesn’t control. You’ll also navigate trade-offs such as latency, detection accuracy and compute constraints, and contribute to ASR capabilities that may span both edge devices and Auror’s cloud platform.
You’ll be part of the ASR software engineering team, working closely across product, engineering and commercial teams to define how this role operates and where it can have the greatest impact. As Auror expands to more stores and retailers globally, the systems, capabilities and standards you establish will help make that growth possible. If you want genuine ownership of a complex physical-meets-software problem, with the opportunity to shape the future of edge AI at Auror, this is that role.
Location
For Senior level and above, we are open to considering remote candidates within New Zealand.
About Auror Engineering
Collaboration is at the heart of the Engineering team at Auror. We believe that we can only build the very best software by working with each other and seeking different perspectives to solve problems. We’re a team that:
Ship code to production constantly: Our product team ships code to production on average at least 10-15 times a day prioritising small releases and short feedback cycles and we do this with a minimal defect rate.
Work on cloud native architecture: We focus on delivering business value to customers, without the burden of maintaining complex infrastructure
Work on innovative and up to date tech stacks: We are constantly evolving our technology stack inline with the needs of our business, leveraging React and Typescript for front-end and C# / Dotnet for back end. We host our services in Azure and utilise a wide range of cloud-native services with an evolving service-oriented architecture.
Contribute to our product: We work with Product Management and Product Design from the very beginning to make sure we’re delivering value to our customers and making a meaningful impact.
Supports a coaching culture: Together, we support one another to level up
Continuously improve: We are relentless about getting better and improving our processes, tooling and tech stack.
What you’ll do
Designing and building new subject recognition capabilities using off the shelf SDKs and 3rd party integrations, including functionality that spans on-camera processing, in-store servers and Auror’s cloud platform
Building comparison harnesses and evaluation tooling to quantify how new face recognition models or engine versions perform against previous ones, including calibrating thresholds and interpreting score distributions, so changes go to production with evidence, not assumptions in collaboration with the AI/Data Science team
Designing and implementing observability through tracing, structured logging, metrics and alerting, giving Auror’s support teams and customers’ SOC and IT teams visibility into systems they cannot physically access
Improving the reliability and resilience of the edge estate, and debugging complex production issues that span process, container, host, network and cloud layers
Integrating and managing third-party SDKs and hardware dependencies, including diagnosing issues and working directly with vendors when their technology is contributing to a problem
Building and maintaining CI/CD pipelines for artefacts deployed to physical devices, so new functionality and upgrades can be delivered safely across the estate at scale
Working within the ASR software engineering team, primarily in .NET and C#, while collaborating across Auror and bringing deep systems expertise from whichever languages and technologies you have built your career in
About you
5+ years of experience across software, systems or infrastructure engineering, with experience owning production systems that run on devices or infrastructure outside your company’s direct control
Strong software engineering fundamentals and experience designing, building and operating capabilities that span edge devices and cloud services
Production experience with containerised workloads on edge or embedded Linux devices, using technologies such as IoT Edge, Balena, k3s or equivalent
Strong debugging skills across process, container, host, network and cloud boundaries, with a detective instinct: you pull threads until you find the actual root cause, not just a plausible one
Hands-on experience with observability tooling, including distributed tracing, structured logging, metrics and alerting design
Practical evaluation skills, including building comparison harnesses to quantify performance differences between model or system versions, and interpreting trade-offs such as latency, accuracy and compute constraints
Comfortable integrating third-party SDKs, hardware and vendor dependencies into production software, and managing the complexity that comes with them
Cloud platform fluency, with GCP preferred, or experience in AWS or Azure and evidence that you can transfer your skills
Familiarity with .NET and C# is ideal, or the ability to quickly become effective in a new language and technology stack
Strong project leadership and communication skills, with the ability to take ownership of complex work and collaborate effectively across Product, Engineering and commercial team
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
Auror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
If you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.
What are the benefits like?
Competitive salary range: Depending on level of experience a starting salary of $120,000 - 150,000 (IC3).
Annual bonus: Eligibility for a NZD$3,300 (IC3) bonus at the end of the financial year if we’ve hit our revenue goals together.
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.
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 $750 NZD for expert sessions every year.
Health Care Plan: We prioritise looking after your health by offering cover under our premier health business insurance plan through nib health insurance - with Auror covering 100% of your premium.
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.
What are the next steps?
If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.
If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.
You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"About Auror\n\n\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\n\n\nFounded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.\n\n\n\nAuror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\nIn partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\n\n\nWe're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\nThe Role\n\n\n\nThis is a brand new role at Auror, which means you’ll have real scope to shape it. Auror’s Subject Recognition (ASR) technology runs across a global edge estate, on-camera and on-server, in thousands of retail stores around the world.\n\n\n\nYour role will be to help Auror own and evolve this edge capability. This includes making the estate observable, reliable, upgradeable and supportable at scale, while also developing new detection, recognition and AI capabilities as the technology evolves. You’ll help our support teams and customers’ Security Operations Centre (SOC) and IT teams identify and respond to issues before customers notice them, and give Auror the evidence needed to confidently improve the underlying models and functionality.\n\n\n\nThis brings a unique set of systems challenges, from debugging across device, container, host and network boundaries, to building the observability and evaluation tooling that tells us whether what we have deployed is working as intended in a remote environment Auror doesn’t control. You’ll also navigate trade-offs such as latency, detection accuracy and compute constraints, and contribute to ASR capabilities that may span both edge devices and Auror’s cloud platform.\n\n\n\nYou’ll be part of the ASR software engineering team, working closely across product, engineering and commercial teams to define how this role operates and where it can have the greatest impact. As Auror expands to more stores and retailers globally, the systems, capabilities and standards you establish will help make that growth possible. If you want genuine ownership of a complex physical-meets-software problem, with the opportunity to shape the future of edge AI at Auror, this is that role.\n\n \n\n\n\nLocation\n\n - For Senior level and above, we are open to considering remote candidates within New Zealand.\n \n \n\nAbout Auror Engineering\n\n\n\nCollaboration is at the heart of the Engineering team at Auror. We believe that we can only build the very best software by working with each other and seeking different perspectives to solve problems. We’re a team that:\n\n\n\n - Ship code to production constantly: Our product team ships code to production on average at least 10-15 times a day prioritising small releases and short feedback cycles and we do this with a minimal defect rate.\n\n - Work on cloud native architecture: We focus on delivering business value to customers, without the burden of maintaining complex infrastructure\n\n - Work on innovative and up to date tech stacks: We are constantly evolving our technology stack inline with the needs of our business, leveraging React and Typescript for front-end and C# / Dotnet for back end. We host our services in Azure and utilise a wide range of cloud-native services with an evolving service-oriented architecture.\n\n - Contribute to our product: We work with Product Management and Product Design from the very beginning to make sure we’re delivering value to our customers and making a meaningful impact.\n\n - Supports a coaching culture: Together, we support one another to level up\n\n - Continuously improve: We are relentless about getting better and improving our processes, tooling and tech stack.\n\n\n\nWhat you’ll do\n\n\n\n - Designing and building new subject recognition capabilities using off the shelf SDKs and 3rd party integrations, including functionality that spans on-camera processing, in-store servers and Auror’s cloud platform\n\n - Building comparison harnesses and evaluation tooling to quantify how new face recognition models or engine versions perform against previous ones, including calibrating thresholds and interpreting score distributions, so changes go to production with evidence, not assumptions in collaboration with the AI/Data Science team\n\n - Designing and implementing observability through tracing, structured logging, metrics and alerting, giving Auror’s support teams and customers’ SOC and IT teams visibility into systems they cannot physically access\n\n - Improving the reliability and resilience of the edge estate, and debugging complex production issues that span process, container, host, network and cloud layers\n\n - Integrating and managing third-party SDKs and hardware dependencies, including diagnosing issues and working directly with vendors when their technology is contributing to a problem\n\n - Building and maintaining CI/CD pipelines for artefacts deployed to physical devices, so new functionality and upgrades can be delivered safely across the estate at scale\n\n - Working within the ASR software engineering team, primarily in .NET and C#, while collaborating across Auror and bringing deep systems expertise from whichever languages and technologies you have built your career in\n\n\n\n\nAbout you\n\n\n\n - 5+ years of experience across software, systems or infrastructure engineering, with experience owning production systems that run on devices or infrastructure outside your company’s direct control\n\n - Strong software engineering fundamentals and experience designing, building and operating capabilities that span edge devices and cloud services\n\n - Production experience with containerised workloads on edge or embedded Linux devices, using technologies such as IoT Edge, Balena, k3s or equivalent\n\n - Strong debugging skills across process, container, host, network and cloud boundaries, with a detective instinct: you pull threads until you find the actual root cause, not just a plausible one\n\n - Hands-on experience with observability tooling, including distributed tracing, structured logging, metrics and alerting design\n\n - Practical evaluation skills, including building comparison harnesses to quantify performance differences between model or system versions, and interpreting trade-offs such as latency, accuracy and compute constraints\n\n - Comfortable integrating third-party SDKs, hardware and vendor dependencies into production software, and managing the complexity that comes with them\n\n - Cloud platform fluency, with GCP preferred, or experience in AWS or Azure and evidence that you can transfer your skills\n\n - Familiarity with .NET and C# is ideal, or the ability to quickly become effective in a new language and technology stack\n\n - Strong project leadership and communication skills, with the ability to take ownership of complex work and collaborate effectively across Product, Engineering and commercial team\n\n - We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n \n \n\nAuror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n\n\nIf you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.\n\n\n\nWhat are the benefits like?\n\n\n\n - Competitive salary range: Depending on level of experience a starting salary of $120,000 - 150,000 (IC3).\n\n - Annual bonus: Eligibility for a NZD$3,300 (IC3) bonus at the end of the financial year if we’ve hit our revenue goals together.\n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - 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 $750 NZD for expert sessions every year.\n\n - Health Care Plan: We prioritise looking after your health by offering cover under our premier health business insurance plan through nib health insurance - with Auror covering 100% of your premium.\n\n - 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.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n \n \n\nWhat are the next steps?\n\n\n\nIf you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.\n\n\n\nIf you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.\n\n\n\nYou'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.\n\n\n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."},{"id":"8cf0d797-3a53-4663-bdea-4b7ab90fbddd","title":"Solutions Engineer","department":"Customer","team":"Commercial","employmentType":"FullTime","location":"Auror Denver Office","secondaryLocations":[],"publishedAt":"2026-10-16T15:23:16.077+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"80205","addressRegion":"Colorado","streetAddress":"3660 Blake Street Suite 200","addressCountry":"United States","addressLocality":"Denver"}},"jobUrl":"https://jobs.ashbyhq.com/auror/8cf0d797-3a53-4663-bdea-4b7ab90fbddd","applyUrl":"https://jobs.ashbyhq.com/auror/8cf0d797-3a53-4663-bdea-4b7ab90fbddd/application","descriptionHtml":"At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
As Auror expands its recognition technology product portfolio — including License Plate Recognition (LPR) and Auror Subject Recognition (ASR) — and the range of hardware these integrate with, we're looking for a Solutions Engineer who thrives at the sharp end of a customer conversation: someone who can hear \"we're not sure this will work for us,\" stay composed, and think on their feet to showcase these new product capabilities to existing & new customers.
This is a customer-facing technical role spanning pre-sales engineering, proof-of-concept design, and ongoing technical advisory as customers expand or evolve their deployments. You'll understand what customers are trying to solve and translate that into the technical fit, the confidence to buy, and a clear path to deployment — partnering with Product, Sales, Customer Success, and Implementation teams throughout, and staying engaged as the technical escalation point as new deployments ramp up. You're equally comfortable holding your ground with a sceptical IT manager as you are running a live product demo for a retail operations team — and you don't rattle when a customer pushes back.
Auror provides the software layer for these technologies, but requires the customer to have/procure the correct hardware (cameras, servers etc) for our recognition technology solutions to work effectively. Therefore, this role needs to be able to explain the end-to-end solution, what hardware is required for their environment, and how to effectively implement it.
Pre-Sales Engineering:
Join sales calls as the technical subject matter expert for LPR and ASR — handling product deep-dives, capability questions, and technical objections with confidence.
Run technical discovery sessions to understand customer environments, existing infrastructure, and integration requirements.
Scope solutions accurately, identifying risks or constraints early so Sales teams can set the right expectations.
Produce technical documentation and implementation plans to support proposals — including integration guides, third-party hardware compatibility requirements, and site assessment summaries.
Deliver compelling, tailored demonstrations of Auror's Core product and LPR / ASR solutions to technical and non-technical audiences.
Proof-of-Concept Design:
Design proof-of-concept scope and success criteria — right hardware, network conditions, and use case alignment — in partnership with the Technical Project Management team, who own implementation.
Track and report on PoC outcomes against the goals you set, synthesising findings for Sales and internal stakeholders — and feeding learnings back into how future PoCs and pitches are shaped.
Customer Technical Advisory:
Serve as a trusted technical advisor to prospects and existing customers — fielding questions about system architecture, data handling, privacy, and integration pathways.
Guide existing customers through the technical requirements of expansion — 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.
Cross-Functional Collaboration:
Work closely with Product to surface recurring technical objections, capability gaps, and customer feedback that should shape the roadmap.
Partner with Customer Success to hand off technical context cleanly as customers move from PoC into live use, and stay looped in as new technical needs surface.
Act as the sales team's technical backup through the deal cycle — unblocking objections and building customer confidence at the moments that matter most for a decision.
Feed insights from the field into Sales enablement materials and product positioning.
Build a strong, collaborative relationship with the Technical Project Management team, ensuring PoC designs and technical requirements translate cleanly into scoped, successful deployments.
You have hands-on experience in a technical pre-sales, solutions engineering, or technical implementation role working with facial recognition, LPR, CCTV, or physical security technology — the specific path matters less than a genuine ability to translate customer needs into technical solutions. Experience with facial recognition or subject recognition technology is a strong advantage.
You're comfortable discussing IT infrastructure at a high level and assessing how our technology fits into a customer's existing environment — flagging practical requirements like Linux fundamentals or mobile device compatibility that affect deployment.
You bring a structured approach to problem-solving — you gather information methodically, identify root causes, and don't jump to solutions before you've understood the problem.
You're comfortable with ambiguity and able to prioritise across multiple concurrent customers and opportunities.
You take privacy and ethical use of technology seriously, and you're confident discussing data handling, retention policies, and responsible AI with customers who ask hard questions.
You're a self-starter who improves the systems around you — if you notice a gap in documentation or a repeated question that should have a better answer, you fix it.
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, not just the hardware behind it.
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
Competitive salary range: Depending on level of experience, between $139,000 - $165,000 USD.
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.
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 for expert sessions every year.
Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife.
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.
If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.
If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.
You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"ABOUT AUROR\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\nFounded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\nOur mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\nWe're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\n\nTHE ROLE\n\nAs Auror expands its recognition technology product portfolio — including License Plate Recognition (LPR) and Auror Subject Recognition (ASR) — and the range of hardware these integrate with, we're looking for a Solutions Engineer who thrives at the sharp end of a customer conversation: someone who can hear \"we're not sure this will work for us,\" stay composed, and think on their feet to showcase these new product capabilities to existing & new customers.\n\nThis is a customer-facing technical role spanning pre-sales engineering, proof-of-concept design, and ongoing technical advisory as customers expand or evolve their deployments. You'll understand what customers are trying to solve and translate that into the technical fit, the confidence to buy, and a clear path to deployment — partnering with Product, Sales, Customer Success, and Implementation teams throughout, and staying engaged as the technical escalation point as new deployments ramp up. You're equally comfortable holding your ground with a sceptical IT manager as you are running a live product demo for a retail operations team — and you don't rattle when a customer pushes back.\n\nAuror provides the software layer for these technologies, but requires the customer to have/procure the correct hardware (cameras, servers etc) for our recognition technology solutions to work effectively. Therefore, this role needs to be able to explain the end-to-end solution, what hardware is required for their environment, and how to effectively implement it.\n\n\n\n\nRESPONSIBILITIES\n\n - Pre-Sales Engineering:\n \n - Join sales calls as the technical subject matter expert for LPR and ASR — handling product deep-dives, capability questions, and technical objections with confidence.\n \n - Run technical discovery sessions to understand customer environments, existing infrastructure, and integration requirements.\n \n - Scope solutions accurately, identifying risks or constraints early so Sales teams can set the right expectations.\n \n - Produce technical documentation and implementation plans to support proposals — including integration guides, third-party hardware compatibility requirements, and site assessment summaries.\n \n - Deliver compelling, tailored demonstrations of Auror's Core product and LPR / ASR solutions to technical and non-technical audiences.\n\n - Proof-of-Concept Design:\n \n - Design proof-of-concept scope and success criteria — right hardware, network conditions, and use case alignment — in partnership with the Technical Project Management team, who own implementation.\n \n - Track and report on PoC outcomes against the goals you set, synthesising findings for Sales and internal stakeholders — and feeding learnings back into how future PoCs and pitches are shaped.\n\n - Customer Technical Advisory:\n \n - Serve as a trusted technical advisor to prospects and existing customers — fielding questions about system architecture, data handling, privacy, and integration pathways.\n \n - Guide existing customers through the technical requirements of expansion — new camera rollouts, additional stores, or environment changes — covering placement, network configuration, lighting, and data flows.\n \n - Translate customer technical requirements into clear briefs for the Product and Deployment teams.\n\n - Cross-Functional Collaboration:\n \n - Work closely with Product to surface recurring technical objections, capability gaps, and customer feedback that should shape the roadmap.\n \n - Partner with Customer Success to hand off technical context cleanly as customers move from PoC into live use, and stay looped in as new technical needs surface.\n \n - Act as the sales team's technical backup through the deal cycle — unblocking objections and building customer confidence at the moments that matter most for a decision.\n \n - Feed insights from the field into Sales enablement materials and product positioning.\n \n - Build a strong, collaborative relationship with the Technical Project Management team, ensuring PoC designs and technical requirements translate cleanly into scoped, successful deployments.\n\n\n\n\nTHIS ROLE REPORTS TO JON BRIEGEL, https://www.linkedin.com/in/jon-briegel-b7922040/ DIRECTOR SOLUTIONS ENGINEERING.\n\nProfile photo for Jon Briegel [https://ca.slack-edge.com/E0BG9TS1QBT-U02ATQV5HTN-4b92bae3d7a4-512]\n\n\n\n\nREQUIREMENTS\n\n - You have hands-on experience in a technical pre-sales, solutions engineering, or technical implementation role working with facial recognition, LPR, CCTV, or physical security technology — the specific path matters less than a genuine ability to translate customer needs into technical solutions. Experience with facial recognition or subject recognition technology is a strong advantage.\n\n - You're comfortable discussing IT infrastructure at a high level and assessing how our technology fits into a customer's existing environment — flagging practical requirements like Linux fundamentals or mobile device compatibility that affect deployment.\n\n - You bring a structured approach to problem-solving — you gather information methodically, identify root causes, and don't jump to solutions before you've understood the problem.\n\n - You're comfortable with ambiguity and able to prioritise across multiple concurrent customers and opportunities.\n\n - You take privacy and ethical use of technology seriously, and you're confident discussing data handling, retention policies, and responsible AI with customers who ask hard questions.\n\n - You're a self-starter who improves the systems around you — if you notice a gap in documentation or a repeated question that should have a better answer, you fix it.\n\n - 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, not just the hardware behind it.\n\nWe are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n\nWith diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n\n\n\nBENEFITS:\n\n - Competitive salary range: Depending on level of experience, between $139,000 - $165,000 USD. \n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - 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 for expert sessions every year.\n\n - Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife.\n\n - 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.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n\n\n\n\n\nWHAT ARE THE NEXT STEPS?\n\nIf you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.\n\nIf you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.\n\nYou'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.\n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."},{"id":"5bc9898e-f1db-489c-b5b7-2c4b5d6bd584","title":"Solutions Engineer","department":"Customer","team":"Commercial","employmentType":"FullTime","location":"Melbourne Auror Office","secondaryLocations":[],"publishedAt":"2026-10-16T15:23:59.577+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"3000","addressRegion":"Victoria","streetAddress":"180 Flinders Street Level 2 ","addressCountry":"Australia","addressLocality":"Melbourne"}},"jobUrl":"https://jobs.ashbyhq.com/auror/5bc9898e-f1db-489c-b5b7-2c4b5d6bd584","applyUrl":"https://jobs.ashbyhq.com/auror/5bc9898e-f1db-489c-b5b7-2c4b5d6bd584/application","descriptionHtml":"At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
As Auror expands its recognition technology product portfolio — including License Plate Recognition (LPR) and Auror Subject Recognition (ASR) — and the range of hardware these integrate with, we're looking for a Solutions Engineer who thrives at the sharp end of a customer conversation: someone who can hear \"we're not sure this will work for us,\" stay composed, and think on their feet to showcase these new product capabilities to existing & new customers.
This is a customer-facing technical role spanning pre-sales engineering, proof-of-concept design, and ongoing technical advisory as customers expand or evolve their deployments. You'll understand what customers are trying to solve and translate that into the technical fit, the confidence to buy, and a clear path to deployment — partnering with Product, Sales, Customer Success, and Implementation teams throughout, and staying engaged as the technical escalation point as new deployments ramp up. You're equally comfortable holding your ground with a sceptical IT manager as you are running a live product demo for a retail operations team — and you don't rattle when a customer pushes back.
Auror provides the software layer for these technologies, but requires the customer to have/procure the correct hardware (cameras, servers etc) for our recognition technology solutions to work effectively. Therefore, this role needs to be able to explain the end-to-end solution, what hardware is required for their environment, and how to effectively implement it.
Practically, this will involve:
Pre-Sales Engineering:
Join sales calls as the technical subject matter expert for LPR and ASR — handling product deep-dives, capability questions, and technical objections with confidence.
Run technical discovery sessions to understand customer environments, existing infrastructure, and integration requirements.
Scope solutions accurately, identifying risks or constraints early so Sales teams can set the right expectations.
Produce technical documentation and implementation plans to support proposals — including integration guides, third-party hardware compatibility requirements, and site assessment summaries.
Deliver compelling, tailored demonstrations of Auror's Core product and LPR / ASR solutions to technical and non-technical audiences.
Proof-of-Concept Design:
Design proof-of-concept scope and success criteria — right hardware, network conditions, and use case alignment — in partnership with the Technical Project Management team, who own implementation.
Track and report on PoC outcomes against the goals you set, synthesising findings for Sales and internal stakeholders — and feeding learnings back into how future PoCs and pitches are shaped.
Customer Technical Advisory:
Serve as a trusted technical advisor to prospects and existing customers — fielding questions about system architecture, data handling, privacy, and integration pathways.
Guide existing customers through the technical requirements of expansion — 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.
Cross-Functional Collaboration:
Work closely with Product to surface recurring technical objections, capability gaps, and customer feedback that should shape the roadmap.
Partner with Customer Success to hand off technical context cleanly as customers move from PoC into live use, and stay looped in as new technical needs surface.
Act as the sales team's technical backup through the deal cycle — unblocking objections and building customer confidence at the moments that matter most for a decision.
Feed insights from the field into Sales enablement materials and product positioning.
Build a strong, collaborative relationship with the Technical Project Management team, ensuring PoC designs and technical requirements translate cleanly into scoped, successful deployments.
![](\"https://media.licdn.com/dms/image/v2/D4E03AQGeyAGcBWvXvg/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1731005838592?e=1791417600&v=beta&t=zIX811U3jN6df_SngVDhZ4K7H_aveC4xAtOeZ2Q4L1A\")
About you:
You have hands-on experience in a technical pre-sales, solutions engineering, or technical implementation role working with facial recognition, LPR, CCTV, or physical security technology — the specific path matters less than a genuine ability to translate customer needs into technical solutions. Experience with facial recognition or subject recognition technology is a strong advantage.
You're comfortable discussing IT infrastructure at a high level and assessing how our technology fits into a customer's existing environment — flagging practical requirements like Linux fundamentals or mobile device compatibility that affect deployment.
You bring a structured approach to problem-solving — you gather information methodically, identify root causes, and don't jump to solutions before you've understood the problem.
You're comfortable with ambiguity and able to prioritise across multiple concurrent customers and opportunities.
You take privacy and ethical use of technology seriously, and you're confident discussing data handling, retention policies, and responsible AI with customers who ask hard questions.
You're a self-starter who improves the systems around you — if you notice a gap in documentation or a repeated question that should have a better answer, you fix it.
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, not just the hardware behind it.
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
Competitive salary range: Depending on level of experience, between $143,000 - 165,000 AUD plus Super.
Annual bonus: Eligibility for a $5,500 bonus at the end of the financial year if we’ve hit our revenue goals together.
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 insurance: We prioritise looking after your health by contributing up to $1,500 per year to your individual health insurance plan with Bupa.
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 $750 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.
If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.
If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.
You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"ABOUT AUROR\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\nFounded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\nOur mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\nWe're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\n\nTHE ROLE\n\nAs Auror expands its recognition technology product portfolio — including License Plate Recognition (LPR) and Auror Subject Recognition (ASR) — and the range of hardware these integrate with, we're looking for a Solutions Engineer who thrives at the sharp end of a customer conversation: someone who can hear \"we're not sure this will work for us,\" stay composed, and think on their feet to showcase these new product capabilities to existing & new customers.\n\nThis is a customer-facing technical role spanning pre-sales engineering, proof-of-concept design, and ongoing technical advisory as customers expand or evolve their deployments. You'll understand what customers are trying to solve and translate that into the technical fit, the confidence to buy, and a clear path to deployment — partnering with Product, Sales, Customer Success, and Implementation teams throughout, and staying engaged as the technical escalation point as new deployments ramp up. You're equally comfortable holding your ground with a sceptical IT manager as you are running a live product demo for a retail operations team — and you don't rattle when a customer pushes back.\n\nAuror provides the software layer for these technologies, but requires the customer to have/procure the correct hardware (cameras, servers etc) for our recognition technology solutions to work effectively. Therefore, this role needs to be able to explain the end-to-end solution, what hardware is required for their environment, and how to effectively implement it.\n\n\n\n\nRESPONSIBILITIES\n\nPractically, this will involve:\n\n - Pre-Sales Engineering:\n \n - Join sales calls as the technical subject matter expert for LPR and ASR — handling product deep-dives, capability questions, and technical objections with confidence.\n \n - Run technical discovery sessions to understand customer environments, existing infrastructure, and integration requirements.\n \n - Scope solutions accurately, identifying risks or constraints early so Sales teams can set the right expectations.\n \n - Produce technical documentation and implementation plans to support proposals — including integration guides, third-party hardware compatibility requirements, and site assessment summaries.\n \n - Deliver compelling, tailored demonstrations of Auror's Core product and LPR / ASR solutions to technical and non-technical audiences.\n\n - Proof-of-Concept Design:\n \n - Design proof-of-concept scope and success criteria — right hardware, network conditions, and use case alignment — in partnership with the Technical Project Management team, who own implementation.\n \n - Track and report on PoC outcomes against the goals you set, synthesising findings for Sales and internal stakeholders — and feeding learnings back into how future PoCs and pitches are shaped.\n\n - Customer Technical Advisory:\n \n - Serve as a trusted technical advisor to prospects and existing customers — fielding questions about system architecture, data handling, privacy, and integration pathways.\n \n - Guide existing customers through the technical requirements of expansion — new camera rollouts, additional stores, or environment changes — covering placement, network configuration, lighting, and data flows.\n \n - Translate customer technical requirements into clear briefs for the Product and Deployment teams.\n\n - Cross-Functional Collaboration:\n \n - Work closely with Product to surface recurring technical objections, capability gaps, and customer feedback that should shape the roadmap.\n \n - Partner with Customer Success to hand off technical context cleanly as customers move from PoC into live use, and stay looped in as new technical needs surface.\n \n - Act as the sales team's technical backup through the deal cycle — unblocking objections and building customer confidence at the moments that matter most for a decision.\n \n - Feed insights from the field into Sales enablement materials and product positioning.\n \n - Build a strong, collaborative relationship with the Technical Project Management team, ensuring PoC designs and technical requirements translate cleanly into scoped, successful deployments.\n\n\n\n\nTHIS ROLE REPORTS TO JON BRIEGEL https://www.linkedin.com/in/jon-briegel-b7922040/, DIRECTOR OF SOLUTIONS ENGINEERING\n\n[https://media.licdn.com/dms/image/v2/D4E03AQGeyAGcBWvXvg/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1731005838592?e=1791417600&v=beta&t=zIX811U3jN6df_SngVDhZ4K7H_aveC4xAtOeZ2Q4L1A]\n\n\n\n\nREQUIREMENTS\n\nAbout you:\n\n - You have hands-on experience in a technical pre-sales, solutions engineering, or technical implementation role working with facial recognition, LPR, CCTV, or physical security technology — the specific path matters less than a genuine ability to translate customer needs into technical solutions. Experience with facial recognition or subject recognition technology is a strong advantage.\n\n - You're comfortable discussing IT infrastructure at a high level and assessing how our technology fits into a customer's existing environment — flagging practical requirements like Linux fundamentals or mobile device compatibility that affect deployment.\n\n - You bring a structured approach to problem-solving — you gather information methodically, identify root causes, and don't jump to solutions before you've understood the problem.\n\n - You're comfortable with ambiguity and able to prioritise across multiple concurrent customers and opportunities.\n\n - You take privacy and ethical use of technology seriously, and you're confident discussing data handling, retention policies, and responsible AI with customers who ask hard questions.\n\n - You're a self-starter who improves the systems around you — if you notice a gap in documentation or a repeated question that should have a better answer, you fix it.\n\n - 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, not just the hardware behind it.\n\n\n\nWe are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n\nWith diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n\n\n\nBENEFITS:\n\n - Competitive salary range: Depending on level of experience, between $143,000 - 165,000 AUD plus Super.\n\n - Annual bonus: Eligibility for a $5,500 bonus at the end of the financial year if we’ve hit our revenue goals together.\n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - Health insurance: We prioritise looking after your health by contributing up to $1,500 per year to your individual health insurance plan with Bupa.\n\n - 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 $750 for expert sessions every year.\n\n - 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.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n\n\n\n\n\nWHAT ARE THE NEXT STEPS?\n\nIf you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.\n\nIf you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.\n\nYou'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.\n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."},{"id":"7ae24139-4248-4017-a234-06ba0f4e68d0","title":"Staff Software Engineer","department":"Product","team":"Software Engineering","employmentType":"FullTime","location":"Remote - New Zealand","secondaryLocations":[{"location":"Auror Auckland Office","address":{"postalAddress":{"postalCode":"1010","addressRegion":"Auckland","streetAddress":"Level 4, 37 Galway Street","addressCountry":"New Zealand","addressLocality":"Britomart"}}}],"publishedAt":"2026-10-15T22:37:12.293+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"New Zealand"}},"jobUrl":"https://jobs.ashbyhq.com/auror/7ae24139-4248-4017-a234-06ba0f4e68d0","applyUrl":"https://jobs.ashbyhq.com/auror/7ae24139-4248-4017-a234-06ba0f4e68d0/application","descriptionHtml":"About Auror
At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.
Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
The Role
Build technology that helps retail teams recognise risk and respond when it matters. As a Staff Software Engineer in Auror Subject Recognition (ASR), you’ll help turn complex recognition signals into reliable, useful experiences that support safer stores.
Our ASR product is evolving quickly, with opportunities to shape the product, solve complex technical challenges and deliver meaningful outcomes for customers, with significant opportunities ahead in the UK and US. You’ll help us learn what customers need, improve the experience across enrolment, detections and real-time alerts, and prepare the product for large enterprise deployments. The challenge spans in-store edge systems and cloud services, with privacy and trust built into technical decisions.
You’ll be on the tools and help be the technical voice in the team. Working alongside Product, Design and engineering peers, you’ll turn ambiguous problems into clear approaches, make deliberate tradeoffs and adjust direction as we learn. You’ll also help the team make better decisions, building the capability and ways of working needed to scale alongside the product.
Practically this will involve:
Shape technical direction as the product evolves. Turn uncertain requirements into clear technical approaches, explaining the options, tradeoffs and rationale. Balance immediate customer needs with architecture that can grow with ASR.
Stay close to customers and validate value early. Partner with Product and Design to test assumptions, understand real workflows and improve enrolment, detections and alerts for large UK and US customers.
Lead complex work through to production. Break open-ended problems into achievable increments, staying hands-on with design and implementation. Adapt scope and priorities as customer feedback and the roadmap evolve.
Prepare ASR for enterprise scale. Anticipate bottlenecks across edge and cloud systems, improve observability and resilience, and ensure the team can investigate production incidents effectively. Build security and privacy into the approach from the start.
Strengthen how the team works. Coach engineers on system design, scoping and technical judgement. Use approach reviews, clear written decisions and shared learning to improve delivery and help others work independently.
You’ll be reporting to Richard Brookes Senior Engineering Lead
I’ve spent 25 years in engineering, starting out at IBM in the UK before moving to New Zealand 20 years ago. Since then I’ve worked across companies of every size, from early-stage SaaS start-ups to global organisations. For the last six years I’ve been leading engineering teams, and I’ve found that helping people grow is just as rewarding as building the systems themselves.
I recently joined Auror to lead our team working on subject recognition. It’s a fascinating problem space with hard engineering challenges and real-world impact. Auror is also at an exciting stage: big enough to be solving problems at global scale, and still early enough that the team has a real hand in shaping how we build. I lead in a way that’s open, honest and trusting. I share context early, give clear and candid feedback, and trust people to own their work, because that’s how teams do their best work and enjoy doing it.
Outside of work, I live rurally in Northland with my wife and our two teenage sons. Whenever I get the chance, I’m out on the water, whether that’s SCUBA diving, boating or kayaking.
About you
You’ve demonstrated Staff-level impact. You’ve been driving technical outcomes, solved complex problems and helped a team make and execute sound technical decisions. You don’t need to have held the Staff title already.
You have experience developing products through uncertainty. You’ve worked on an early-stage or evolving product, tested assumptions with customers and adapted technical choices as you learned what delivered value.
You combine technical depth with hands-on delivery. You can reason about architecture, service boundaries, event flows and failure modes, then turn that thinking into maintainable production software.
You make deliberate, pragmatic tradeoffs. You can explain what matters now, what can wait and why. You’re comfortable changing plans when new evidence emerges while keeping the team focused on meaningful outcomes.
You help others become more effective. You build trust, invite constructive challenge and communicate clearly. You coach engineers and improve practices so the team can move forward without depending on you for every decision.
You care about operating what you build. You have experience anticipating scaling limits and using testing, observability and incident learning to improve reliability. Experience with distributed cloud services, edge deployments or sensitive-data systems would be valuable.
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
Auror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
If you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.
What are the benefits like?
Competitive salary range: Depending on level of experience a starting salary of $150,000 - 175,000 (IC4)
Annual bonus: Eligibility for a NZD $5,500 bonus at the end of the financial year if we’ve hit our revenue goals together.
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.
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 $750 NZD for expert sessions every year.
Health Care Plan: We prioritise looking after your health by offering cover under our premier health business insurance plan through nib health insurance - with Auror covering 100% of your premium.
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.
What are the next steps?
If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.
If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.
You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"About Auror\n\n\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\n\n\nFounded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.\n\n\n\nAuror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\n\n\nIn partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\n\n\nWe're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\nThe Role\n\n\n\nBuild technology that helps retail teams recognise risk and respond when it matters. As a Staff Software Engineer in Auror Subject Recognition (ASR), you’ll help turn complex recognition signals into reliable, useful experiences that support safer stores.\n\n\n\nOur ASR product is evolving quickly, with opportunities to shape the product, solve complex technical challenges and deliver meaningful outcomes for customers, with significant opportunities ahead in the UK and US. You’ll help us learn what customers need, improve the experience across enrolment, detections and real-time alerts, and prepare the product for large enterprise deployments. The challenge spans in-store edge systems and cloud services, with privacy and trust built into technical decisions.\n\n\n\nYou’ll be on the tools and help be the technical voice in the team. Working alongside Product, Design and engineering peers, you’ll turn ambiguous problems into clear approaches, make deliberate tradeoffs and adjust direction as we learn. You’ll also help the team make better decisions, building the capability and ways of working needed to scale alongside the product.\n\n\n\n\nPractically this will involve:\n\n\n\n - Shape technical direction as the product evolves. Turn uncertain requirements into clear technical approaches, explaining the options, tradeoffs and rationale. Balance immediate customer needs with architecture that can grow with ASR.\n\n - Stay close to customers and validate value early. Partner with Product and Design to test assumptions, understand real workflows and improve enrolment, detections and alerts for large UK and US customers.\n\n - Lead complex work through to production. Break open-ended problems into achievable increments, staying hands-on with design and implementation. Adapt scope and priorities as customer feedback and the roadmap evolve.\n\n - Prepare ASR for enterprise scale. Anticipate bottlenecks across edge and cloud systems, improve observability and resilience, and ensure the team can investigate production incidents effectively. Build security and privacy into the approach from the start.\n\n - Strengthen how the team works. Coach engineers on system design, scoping and technical judgement. Use approach reviews, clear written decisions and shared learning to improve delivery and help others work independently.\n \n \n\nYou’ll be reporting to Richard Brookes http://linkedin.com/in/richard-brookes-26108653?originalSubdomain=nz Senior Engineering Lead\n\n\n\nI’ve spent 25 years in engineering, starting out at IBM in the UK before moving to New Zealand 20 years ago. Since then I’ve worked across companies of every size, from early-stage SaaS start-ups to global organisations. For the last six years I’ve been leading engineering teams, and I’ve found that helping people grow is just as rewarding as building the systems themselves.\n\n\n\nI recently joined Auror to lead our team working on subject recognition. It’s a fascinating problem space with hard engineering challenges and real-world impact. Auror is also at an exciting stage: big enough to be solving problems at global scale, and still early enough that the team has a real hand in shaping how we build. I lead in a way that’s open, honest and trusting. I share context early, give clear and candid feedback, and trust people to own their work, because that’s how teams do their best work and enjoy doing it.\n\n\n\nOutside of work, I live rurally in Northland with my wife and our two teenage sons. Whenever I get the chance, I’m out on the water, whether that’s SCUBA diving, boating or kayaking.\n\n\n\nAbout you\n\n\n\n - You’ve demonstrated Staff-level impact. You’ve been driving technical outcomes, solved complex problems and helped a team make and execute sound technical decisions. You don’t need to have held the Staff title already.\n\n - You have experience developing products through uncertainty. You’ve worked on an early-stage or evolving product, tested assumptions with customers and adapted technical choices as you learned what delivered value.\n\n - You combine technical depth with hands-on delivery. You can reason about architecture, service boundaries, event flows and failure modes, then turn that thinking into maintainable production software.\n\n - You make deliberate, pragmatic tradeoffs. You can explain what matters now, what can wait and why. You’re comfortable changing plans when new evidence emerges while keeping the team focused on meaningful outcomes.\n\n - You help others become more effective. You build trust, invite constructive challenge and communicate clearly. You coach engineers and improve practices so the team can move forward without depending on you for every decision.\n\n - You care about operating what you build. You have experience anticipating scaling limits and using testing, observability and incident learning to improve reliability. Experience with distributed cloud services, edge deployments or sensitive-data systems would be valuable.\n\n - We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n\n\n\nAuror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n\n\nIf you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.\n\n\n\nWhat are the benefits like?\n\n\n\n - Competitive salary range: Depending on level of experience a starting salary of $150,000 - 175,000 (IC4)\n\n - Annual bonus: Eligibility for a NZD $5,500 bonus at the end of the financial year if we’ve hit our revenue goals together.\n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - 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 $750 NZD for expert sessions every year.\n\n - Health Care Plan: We prioritise looking after your health by offering cover under our premier health business insurance plan through nib health insurance - with Auror covering 100% of your premium.\n\n - 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.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n \n \n\nWhat are the next steps?\n\n\n\nIf you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.\n\n\n\nIf you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.\n\n\n\nYou'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.\n\n\n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."},{"id":"c23e2b78-1128-4ba6-a231-c38c9c7ad9b3","title":"Senior Full Stack Engineer (Contractor Role)","department":"Product","team":"Software Engineering","employmentType":"Contract","location":"Remote - New Zealand","secondaryLocations":[{"location":"Auror Auckland Office","address":{"postalAddress":{"postalCode":"1010","addressRegion":"Auckland","streetAddress":"Level 4, 37 Galway Street","addressCountry":"New Zealand","addressLocality":"Britomart"}}}],"publishedAt":"2026-10-07T03:14:44.816+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"New Zealand"}},"jobUrl":"https://jobs.ashbyhq.com/auror/c23e2b78-1128-4ba6-a231-c38c9c7ad9b3","applyUrl":"https://jobs.ashbyhq.com/auror/c23e2b78-1128-4ba6-a231-c38c9c7ad9b3/application","descriptionHtml":"About Auror
At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.
Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
The Contract Role
We're hiring 2 x senior contract full stack engineers to work within one of our new domain services in the platform, on an initial contract of approximately six months.
This is greenfield work inside an established product. A core capability is being carved out into its own service, with its own data model, its own API, and its own front end. The work runs the full depth of that slice: building out the service and its contracts in C#/.NET, exposing it cleanly to internal and public API clients, and building the React and TypeScript experience on top of it.
This is deliberately not a backend-only or frontend-only role. You'll be expected to move across the whole stack to deliver complete outcomes, and to be equally comfortable reasoning about service boundaries and asynchronous workflows as you are building a complex, stateful UI. If you're strong at one end and passable at the other, this won't be the right fit.
You'll be joining an existing team, working closely with Product, Design and engineers on adjacent systems. The work is well-defined in outcome and open in approach, so we're looking for someone who can operate with a high degree of autonomy and create momentum without close direction.
Success looks like a capability the permanent team can confidently own and extend long after the contract ends.
Location
We are open to fully remote candidates within New Zealand.
About Auror Engineering
Collaboration is at the heart of the Engineering team at Auror. We believe that we can only build the very best software by working with each other and seeking different perspectives to solve problems. We’re a team that:
Ship code to production constantly: Our product team ships code to production on average at least 10-15 times a day prioritising small releases and short feedback cycles and we do this with a minimal defect rate.
Work on cloud native architecture: We focus on delivering business value to customers, without the burden of maintaining complex infrastructure
Work on innovative and up to date tech stacks: We are constantly evolving our technology stack inline with the needs of our business, leveraging React and Typescript for front-end and C# / Dotnet for back end. We host our services in Azure and utilise a wide range of cloud-native services with an evolving service-oriented architecture.
Contribute to our product: We work with Product Management and Product Design from the very beginning to make sure we’re delivering value to our customers and making a meaningful impact.
Supports a coaching culture: Together, we support one another to level up
Continuously improve: We are relentless about getting better and improving our processes, tooling and tech stack.
What you’ll do:
Design and build a new service in C#/.NET, including its data model, API contracts, and integration points with existing systems
Build a sophisticated, reliable front-end experience in React and TypeScript, working within our established design system and component library, covering dynamic forms, conditional logic, validation, autosave, and clear error handling
Make the new capability available to a range of clients, including our public API
Develop automated tests across the stack, covering front-end behaviour, API validation, permissions, persistence, and integration with existing systems
Build in observability and sensible failure recovery from the start
Break work into safe, valuable increments, and surface risks, dependencies, and trade-offs early
Work with Product and Design to turn evolving requirements into clear, incremental releases
Leave the codebase, patterns, and documentation in a state the permanent team can pick up without you
About you
Genuine full stack capability. Strong C#/.NET is strongly preferred, and you can reason confidently about APIs, service boundaries, asynchronous workflows, and data flows
Deep React and TypeScript experience, building sophisticated production applications within an established design system and component library rather than introducing your own patterns
Delivery focus. You can take an ambiguous problem, clarify it, break it into increments, and safely ship working software within a fixed timeframe
Comfortable with semi-formed requirements. You can work from a direction rather than a specification. You go and talk to the people who hold the context, form your own view, and bring it back to get alignment before building. You don't wait to be handed the detail bullet by bullet, and you don't disappear and build the wrong thing either
Testing and reliability mindset. You build with automated testing, observability, permissions, and data integrity in mind
Judgement in how you use AI. We use AI-assisted engineering tools here and we expect you to. We also expect you to own everything you ship: no code you can't explain, no tests that pass without testing anything, no documentation that reads like it was generated and never read
Contract readiness. You onboard quickly, work independently, and communicate technical decisions and trade-offs clearly
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
Auror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
If you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.
Contract rates
NZD $100-130 per hour
What are the next steps?
If this looks like a fit and you're available, hit Apply. We're moving quickly on this one.
A note for recruitment agencies
We're running this search directly, alongside our existing preferred suppliers. We're not accepting unsolicited candidate submissions, and no fee is payable for CVs sent to Auror employees without a written agreement in place beforehand.
","descriptionPlain":"About Auror\n\n\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\n\n\nFounded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.\n\n\n\nAuror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\n\n\nIn partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\n\n\nWe're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\nThe Contract Role\n\n\n\nWe're hiring 2 x senior contract full stack engineers to work within one of our new domain services in the platform, on an initial contract of approximately six months.\n\n\n\nThis is greenfield work inside an established product. A core capability is being carved out into its own service, with its own data model, its own API, and its own front end. The work runs the full depth of that slice: building out the service and its contracts in C#/.NET, exposing it cleanly to internal and public API clients, and building the React and TypeScript experience on top of it.\n\n\n\nThis is deliberately not a backend-only or frontend-only role. You'll be expected to move across the whole stack to deliver complete outcomes, and to be equally comfortable reasoning about service boundaries and asynchronous workflows as you are building a complex, stateful UI. If you're strong at one end and passable at the other, this won't be the right fit.\n\n\n\nYou'll be joining an existing team, working closely with Product, Design and engineers on adjacent systems. The work is well-defined in outcome and open in approach, so we're looking for someone who can operate with a high degree of autonomy and create momentum without close direction.\n\n\n\nSuccess looks like a capability the permanent team can confidently own and extend long after the contract ends.\n\n\n\nLocation\n\n - We are open to fully remote candidates within New Zealand.\n\n\n\nAbout Auror Engineering\n\n\n\nCollaboration is at the heart of the Engineering team at Auror. We believe that we can only build the very best software by working with each other and seeking different perspectives to solve problems. We’re a team that:\n\n\n\n - Ship code to production constantly: Our product team ships code to production on average at least 10-15 times a day prioritising small releases and short feedback cycles and we do this with a minimal defect rate.\n\n - Work on cloud native architecture: We focus on delivering business value to customers, without the burden of maintaining complex infrastructure\n\n - Work on innovative and up to date tech stacks: We are constantly evolving our technology stack inline with the needs of our business, leveraging React and Typescript for front-end and C# / Dotnet for back end. We host our services in Azure and utilise a wide range of cloud-native services with an evolving service-oriented architecture.\n\n - Contribute to our product: We work with Product Management and Product Design from the very beginning to make sure we’re delivering value to our customers and making a meaningful impact.\n\n - Supports a coaching culture: Together, we support one another to level up\n\n - Continuously improve: We are relentless about getting better and improving our processes, tooling and tech stack.\n\n\n\nWhat you’ll do:\n\n\n\n - Design and build a new service in C#/.NET, including its data model, API contracts, and integration points with existing systems\n\n - Build a sophisticated, reliable front-end experience in React and TypeScript, working within our established design system and component library, covering dynamic forms, conditional logic, validation, autosave, and clear error handling\n\n - Make the new capability available to a range of clients, including our public API\n\n - Develop automated tests across the stack, covering front-end behaviour, API validation, permissions, persistence, and integration with existing systems\n\n - Build in observability and sensible failure recovery from the start\n\n - Break work into safe, valuable increments, and surface risks, dependencies, and trade-offs early\n\n - Work with Product and Design to turn evolving requirements into clear, incremental releases\n\n - Leave the codebase, patterns, and documentation in a state the permanent team can pick up without you\n\n\n\nAbout you\n\n\n\n - Genuine full stack capability. Strong C#/.NET is strongly preferred, and you can reason confidently about APIs, service boundaries, asynchronous workflows, and data flows\n\n - Deep React and TypeScript experience, building sophisticated production applications within an established design system and component library rather than introducing your own patterns\n\n - Delivery focus. You can take an ambiguous problem, clarify it, break it into increments, and safely ship working software within a fixed timeframe\n\n - Comfortable with semi-formed requirements. You can work from a direction rather than a specification. You go and talk to the people who hold the context, form your own view, and bring it back to get alignment before building. You don't wait to be handed the detail bullet by bullet, and you don't disappear and build the wrong thing either\n\n - Testing and reliability mindset. You build with automated testing, observability, permissions, and data integrity in mind\n\n - Judgement in how you use AI. We use AI-assisted engineering tools here and we expect you to. We also expect you to own everything you ship: no code you can't explain, no tests that pass without testing anything, no documentation that reads like it was generated and never read\n\n - Contract readiness. You onboard quickly, work independently, and communicate technical decisions and trade-offs clearly\n\n - We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n\n\n\nAuror is committed to providing an inclusive and accessible application process to all candidates and we are actively working to improve diversity within the tech industry. We celebrate diversity and inclusiveness at Auror, regardless of (but not limited to) race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n\n\nIf you need adjustments to any part of our recruitment process because of accessibility reasons, please do not hesitate to let us know during the application process. We will work with you to identify adjustments that will allow you to perform at your best.\n\n\n\nContract rates\n\n - NZD $100-130 per hour\n\n\n\nWhat are the next steps?\n\n\n\nIf this looks like a fit and you're available, hit Apply. We're moving quickly on this one.\n\n \n\nA note for recruitment agencies\n\n\n\nWe're running this search directly, alongside our existing preferred suppliers. We're not accepting unsolicited candidate submissions, and no fee is payable for CVs sent to Auror employees without a written agreement in place beforehand."},{"id":"cf551fbe-f055-45b6-8939-a643101a0832","title":"Customer Success Manager","department":"Customer","team":"Customer Success","employmentType":"FullTime","location":"Auror Denver Office","secondaryLocations":[],"publishedAt":"2026-10-09T15:27:22.555+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"80205","addressRegion":"Colorado","streetAddress":"3660 Blake Street Suite 200","addressCountry":"United States","addressLocality":"Denver"}},"jobUrl":"https://jobs.ashbyhq.com/auror/cf551fbe-f055-45b6-8939-a643101a0832","applyUrl":"https://jobs.ashbyhq.com/auror/cf551fbe-f055-45b6-8939-a643101a0832/application","descriptionHtml":"At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
The role of the Customer Success Manager is to drive long-term strategic value and deep product integration across our enterprise partnerships. Once a customer is activated, you take the lead—owning the ongoing relationship and ensuring our platform becomes an indispensable part of their daily operations and crime reduction strategy. This role reports to the Customer Success Lead.
You are a strategic advisor who understands the \"big picture.\" By analyzing health metrics, running refreshed engagement practices, and developing success plans, you will ensure our customers don't just use the platform, but achieve measurable, high-impact outcomes. You will bridge the gap between software and strategy, turning active users into lifelong champions.
Strategic Account Direction: Own the post-onboarding lifecycle for enterprise-level customers, defining the long-term vision and success roadmap to ensure sustained ROI.
Drive Deep Adoption: Move beyond basic usage to ensure the platform is \"embedded\" in the customer's culture and standard operating procedures (SOPs).
Refreshed Engagement Practices: Lead high-impact business reviews (QBRs/CVRs) and executive briefings that move away from \"feature updates\" toward \"outcome storytelling.\"
Growth & Expansion: Partner with Retail Partnership Managers & Account Executives to identify opportunities, new department rollouts, and upsell potential based on the customer’s evolving needs.
Outcome Analytics: Transform complex data sets into actionable insights, proving the platform’s value in reducing shrink, improving safety, and optimizing operations.
Champion Development: Cultivate deep relationships with senior loss prevention stakeholders, turning them into vocal advocates for Auror.
Cross-Functional Advocacy: Serve as the \"Voice of the Customer\" for the Product team, providing feedback that shapes the future of the platform based on mature user needs.
Consultative Change Management: Support customers through organisational shifts, ensuring our technology remains central to their evolving business processes.
The Strategic Partner: You have experience in Enterprise Customer Success or Account Management (SaaS preferred). You know how to navigate complex hierarchies and speak the language of senior leaders.
Data-Driven Storyteller: You don't just report numbers; you explain what they mean. You can take raw engagement data and turn it into a compelling narrative about crime reduction and business value.
Growth Mindset: You have a \"commercial eye\" and can naturally spot opportunities where our platform can solve additional problems for a customer.
Master of Influence: You excel at driving change without direct authority, coaching customers to adopt new habits and \"better ways of working.\"
Proactive Problem Solver: You don't wait for a customer to flag an issue. You monitor health metrics and intervene early to course-correct engagement before it dips.
Collaborative & Adaptive: You enjoy working in a specialised ecosystem, seamlessly taking over the \"baton\" from the Activation team to lead the long-term marathon.
Mobile & Connected: You are comfortable with regular travel to build face-to-face rapport and attend industry events.
I've spent over a decade in Customer Success and Support, working collaboratively with enterprise, mid, and small market accounts in the Marketing SaaS space before joining Auror. The mission of Auror grabbed me immediately and I've loved learning alongside a team that's genuinely passionate about the work.
I lead a team of talented CSMs focused on customer engagement, adoption, and long-term retention. My goal as a manager is to create an environment where people feel trusted, respected, and empowered. I believe great CS comes from people who are strategically minded, build authentic connections, and are humble, honest, and genuinely invested in customer outcomes. When you truly value the people around you and what they are committed to, it's a lot easier to find the \"so what\" that drives real retention and growth, and that's the kind of thinking I try to cultivate on this team.
Outside of work, you'll find me in the garden, near any body of water I can get to, hanging out with my family, or catching a punk show with friends.
![\"Profile](\"https://media.licdn.com/dms/image/v2/D5603AQEouOVvNRypHQ/profile-displayphoto-scale_400_400/B56Zvnw5J.JEAo-/0/1769119913012?e=1793232000&v=beta&t=A4hoxtbM2Tf2HhADy6vbwKkXgTyPUpTOcqC14cHa-ao\")
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
Competitive salary range: Depending on level of experience of $85,000 - $105,000 (IC3)
Annual bonus: Eligibility for a $3,300 bonus at the end of the financial year if we’ve hit our revenue goals together.
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.
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.
Health insurance: We prioritise looking after your health by contributing to your individual health insurance plan through Anthem health insurance.
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.
If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.
If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.
You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"ABOUT AUROR\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\nFounded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\nOur mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\nWe're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\n\nTHE ROLE\n\nThe role of the Customer Success Manager is to drive long-term strategic value and deep product integration across our enterprise partnerships. Once a customer is activated, you take the lead—owning the ongoing relationship and ensuring our platform becomes an indispensable part of their daily operations and crime reduction strategy. This role reports to the Customer Success Lead.\n\n \n\nYou are a strategic advisor who understands the \"big picture.\" By analyzing health metrics, running refreshed engagement practices, and developing success plans, you will ensure our customers don't just use the platform, but achieve measurable, high-impact outcomes. You will bridge the gap between software and strategy, turning active users into lifelong champions.\n\n\n\n\nRESPONSIBILITIES\n\n - Strategic Account Direction: Own the post-onboarding lifecycle for enterprise-level customers, defining the long-term vision and success roadmap to ensure sustained ROI.\n\n - Drive Deep Adoption: Move beyond basic usage to ensure the platform is \"embedded\" in the customer's culture and standard operating procedures (SOPs).\n\n - Refreshed Engagement Practices: Lead high-impact business reviews (QBRs/CVRs) and executive briefings that move away from \"feature updates\" toward \"outcome storytelling.\"\n\n - Growth & Expansion: Partner with Retail Partnership Managers & Account Executives to identify opportunities, new department rollouts, and upsell potential based on the customer’s evolving needs.\n\n - Outcome Analytics: Transform complex data sets into actionable insights, proving the platform’s value in reducing shrink, improving safety, and optimizing operations.\n\n - Champion Development: Cultivate deep relationships with senior loss prevention stakeholders, turning them into vocal advocates for Auror.\n\n - Cross-Functional Advocacy: Serve as the \"Voice of the Customer\" for the Product team, providing feedback that shapes the future of the platform based on mature user needs.\n\n - Consultative Change Management: Support customers through organisational shifts, ensuring our technology remains central to their evolving business processes.\n\n\n\n\nABOUT YOU\n\n - The Strategic Partner: You have experience in Enterprise Customer Success or Account Management (SaaS preferred). You know how to navigate complex hierarchies and speak the language of senior leaders.\n\n - Data-Driven Storyteller: You don't just report numbers; you explain what they mean. You can take raw engagement data and turn it into a compelling narrative about crime reduction and business value.\n\n - Growth Mindset: You have a \"commercial eye\" and can naturally spot opportunities where our platform can solve additional problems for a customer.\n\n - Master of Influence: You excel at driving change without direct authority, coaching customers to adopt new habits and \"better ways of working.\"\n\n - Proactive Problem Solver: You don't wait for a customer to flag an issue. You monitor health metrics and intervene early to course-correct engagement before it dips.\n\n - Collaborative & Adaptive: You enjoy working in a specialised ecosystem, seamlessly taking over the \"baton\" from the Activation team to lead the long-term marathon.\n\n - Mobile & Connected: You are comfortable with regular travel to build face-to-face rapport and attend industry events.\n\n \n\n\nTHIS ROLE REPORTS TO EVAN BISHOP, CUSTOMER SUCCESS LEAD\n\nI've spent over a decade in Customer Success and Support, working collaboratively with enterprise, mid, and small market accounts in the Marketing SaaS space before joining Auror. The mission of Auror grabbed me immediately and I've loved learning alongside a team that's genuinely passionate about the work.\n\nI lead a team of talented CSMs focused on customer engagement, adoption, and long-term retention. My goal as a manager is to create an environment where people feel trusted, respected, and empowered. I believe great CS comes from people who are strategically minded, build authentic connections, and are humble, honest, and genuinely invested in customer outcomes. When you truly value the people around you and what they are committed to, it's a lot easier to find the \"so what\" that drives real retention and growth, and that's the kind of thinking I try to cultivate on this team.\n\nOutside of work, you'll find me in the garden, near any body of water I can get to, hanging out with my family, or catching a punk show with friends.\n\n \nProfile image [https://media.licdn.com/dms/image/v2/D5603AQEouOVvNRypHQ/profile-displayphoto-scale_400_400/B56Zvnw5J.JEAo-/0/1769119913012?e=1793232000&v=beta&t=A4hoxtbM2Tf2HhADy6vbwKkXgTyPUpTOcqC14cHa-ao]\n\n\n\n\nREQUIREMENTS\n\nWe are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n\nWith diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n\n\n\nBENEFITS:\n\n - Competitive salary range: Depending on level of experience of $85,000 - $105,000 (IC3)\n\n - Annual bonus: Eligibility for a $3,300 bonus at the end of the financial year if we’ve hit our revenue goals together.\n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - 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.\n\n - Health insurance: We prioritise looking after your health by contributing to your individual health insurance plan through Anthem health insurance.\n\n - 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.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n\n\n\n\n\nWHAT ARE THE NEXT STEPS?\n\nIf you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”.\n\nIf you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you.\n\nYou'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror.\n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."},{"id":"f131efbb-4788-4e61-82f6-c68f8294c24f","title":"Director Product Management (Win the Data & Enablement)","department":"Product","team":"Product Management","employmentType":"FullTime","location":"Auror Auckland Office","secondaryLocations":[],"publishedAt":"2026-11-01T21:15:52.676+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"1010","addressRegion":"Auckland","streetAddress":"Level 4, 37 Galway Street","addressCountry":"New Zealand","addressLocality":"Britomart"}},"jobUrl":"https://jobs.ashbyhq.com/auror/f131efbb-4788-4e61-82f6-c68f8294c24f","applyUrl":"https://jobs.ashbyhq.com/auror/f131efbb-4788-4e61-82f6-c68f8294c24f/application","descriptionHtml":"About Auror
At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.
Founded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.
Auror is connecting people and intelligence to reduce crime. We’re using technology for good.
In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.
We're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.
About the role
We're hiring a Director of Product Management to lead two of our product pillars, Win the Data and Enablement. It's a key leadership role in our Product Team, reporting to our SVP Product and working alongside our Directors of Product for Risk Detection and Network Effects.
Win the Data is the front door to the Auror platform. Every loss and harm event in our network starts here, whether a store team member reports it on mobile or web, or a partner system such as a body-worn camera, VMS, sensor or ANPR camera creates it. We want every event captured in near-real time, with strong evidence and minimal effort from frontline staff, as capture shifts from people typing reports to people verifying what systems have detected. Better data in means better intelligence out, for retailers, for law enforcement, and for the AI that powers the rest of our product.
Enablement is the platform layer every other team builds on: identity and permissions, data retention and access controls, search, media, notifications and internationalisation. When it's right, we can sell into bigger enterprises and new regions, and the rest of the product team moves faster.
You'll lead three product managers across five streams (Intel, Mobile, Integrations, Core Services and Core Shared Experiences) and own the strategy and outcomes for both pillars.
We’re looking for someone who aligns with our philosophy on how to build great products. That is, teams should have a strong understanding of who uses their product, how they use it, and how they feel about it. We believe PMs should be embedded with design and engineering teams, collaborating with cross-functional team members to make sure their product solves the problems they set out to.
Location: Auckland, with hybrid working and 2 to 3 days per week in the office.
Practically, this role will involve:
Product leadership: Lead the product managers across Win the Data and Enablement, giving them clear direction and helping them grow and do the best work of their careers. With the other Product Directors, you'll set a high bar for product excellence and a collaborative culture across the wider product team.
Commercial and Strategic Leadership: Make the calls across your pillars on what we build, in what order, and what we leave out. Understand how event volume and data quality drive customer retention and expansion, and how platform capabilities unblock enterprise deals and new markets. Drive the response to changes in the competitive landscape.
Product strategy: Own the strategy for both pillars, including our Connected Ecosystem vision for partner integrations and our Open API. Keep it aligned with company goals alongside the SVP Product, your fellow Product Directors and our Engineering Directors.
Product delivery: Play a key role in ensuring we ship high quality product, at a high cadence, that consistently delivers on customer outcomes, and taking ownership of ensuring we have effective go-to-market strategies.
Product operations: Working with the product managers, wider product org, and customer teams to evolve how we support other teams to do their best work, especially with AI tools.
Ecosystem and partners: Work with our partnerships and customer teams, and with technology partners (body-worn camera, VMS, sensor and computer vision vendors), to decide which integrations we build, how we curate the ecosystem, and how partner data becomes events our customers trust.
Leverage Data and AI Thoughtfully: Find where AI can take effort out of reporting, from auto-drafting events to triaging signals from partner systems, in a sensible, safe and impactful way. Collaborate cross-functionally to drive ethical AI practices.
Measure and Communicate Success: Own the pillar metrics, such as time from incident to published event, the share of events with supporting evidence, and the share of events auto-drafted by AI or integrations. Drive the response when they move, and make outcomes and learnings visible to stakeholders and the wider business.
Mentorship and coaching: Coach and mentor your team of product managers to ensure they are effective.
You’re the ideal candidate if you have/are:
Multiple years experience managing and leading teams of at least 3 product managers.
A proven track record delivering world class B2B SaaS products to market.
Experience leading platform, API or data-ingestion products, ideally including third-party integrations or a partner ecosystem.
Strong strategic thinker with a history of owning and driving product strategy.
Strong executor with a proven track record of shipping products fast to a high quality.
Demonstrate strong commercial acumen with the ability to drive the financial side of product at the strategic cross-product line level.
Demonstrated the ability to level up product development practices with AI tools, either in your day job or through side projects
Experience building teams that love to work together and produce world class results.
Strong people manager who cares deeply about the people around them, growing their careers and enabling them to do their best work.
Excellent communication skills, both verbal and written. Thoughtful, high empathy and social intelligence, with the ability to deliver all types of information and context to different people in ways that resonate.
A desire to be a thought leader in this space and contributing, networking with the product management community. Through this, you’ll help Auror become known as one of the very best product teams around.
Proactive, organised, focused, and with a strong bias for action and forward momentum.
Nice to have
Experience working on products with a global scale (and teams in multiple regions and timezones)
Experience innovating with new technologies (including AI & machine learning)
Experience with mobile products used by frontline or field workers, or with enterprise identity, permissions and data governance
We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page).
With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.
What are the benefits like?
Competitive salary range: $185,000-$260,000 depending on level of experience (PL5/PL6)
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.
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 three expert sessions paid for every year.
nib Health Care Plan: Auror covers 100% of the cost of your individual health insurance plan.
Family-friendly: We offer comprehensive parental leave and benefits for primary and non-primary caregivers, including a baby bonus and meals delivered to your door.
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.
What are the next steps?
If you’re excited about our mission and you have experience and a passion for this role, please hit “Apply” below. We’re proud that Auror is a place where everyone can learn and grow. So if you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway as we’d love to hear from you!
Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.
","descriptionPlain":"About Auror\n\n\n\nAt Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.\n\n\n\nFounded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.\n\n\n\nAuror is connecting people and intelligence to reduce crime. We’re using technology for good.\n\n\n\nIn partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.\n\n\n\nWe're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function.\n\n\n\nAbout the role\n\n\n\nWe're hiring a Director of Product Management to lead two of our product pillars, Win the Data and Enablement. It's a key leadership role in our Product Team, reporting to our SVP Product and working alongside our Directors of Product for Risk Detection and Network Effects.\n\n\n\nWin the Data is the front door to the Auror platform. Every loss and harm event in our network starts here, whether a store team member reports it on mobile or web, or a partner system such as a body-worn camera, VMS, sensor or ANPR camera creates it. We want every event captured in near-real time, with strong evidence and minimal effort from frontline staff, as capture shifts from people typing reports to people verifying what systems have detected. Better data in means better intelligence out, for retailers, for law enforcement, and for the AI that powers the rest of our product.\n\n\n\nEnablement is the platform layer every other team builds on: identity and permissions, data retention and access controls, search, media, notifications and internationalisation. When it's right, we can sell into bigger enterprises and new regions, and the rest of the product team moves faster.\n\n\n\nYou'll lead three product managers across five streams (Intel, Mobile, Integrations, Core Services and Core Shared Experiences) and own the strategy and outcomes for both pillars.\n\n\n\nWe’re looking for someone who aligns with our philosophy on how to build great products. That is, teams should have a strong understanding of who uses their product, how they use it, and how they feel about it. We believe PMs should be embedded with design and engineering teams, collaborating with cross-functional team members to make sure their product solves the problems they set out to.\n\n\n\nLocation: Auckland, with hybrid working and 2 to 3 days per week in the office.\n\n\n\nPractically, this role will involve:\n\n\n\n - Product leadership: Lead the product managers across Win the Data and Enablement, giving them clear direction and helping them grow and do the best work of their careers. With the other Product Directors, you'll set a high bar for product excellence and a collaborative culture across the wider product team.\n\n - Commercial and Strategic Leadership: Make the calls across your pillars on what we build, in what order, and what we leave out. Understand how event volume and data quality drive customer retention and expansion, and how platform capabilities unblock enterprise deals and new markets. Drive the response to changes in the competitive landscape.\n\n - Product strategy: Own the strategy for both pillars, including our Connected Ecosystem vision for partner integrations and our Open API. Keep it aligned with company goals alongside the SVP Product, your fellow Product Directors and our Engineering Directors.\n\n - Product delivery: Play a key role in ensuring we ship high quality product, at a high cadence, that consistently delivers on customer outcomes, and taking ownership of ensuring we have effective go-to-market strategies.\n\n - Product operations: Working with the product managers, wider product org, and customer teams to evolve how we support other teams to do their best work, especially with AI tools.\n\n - Ecosystem and partners: Work with our partnerships and customer teams, and with technology partners (body-worn camera, VMS, sensor and computer vision vendors), to decide which integrations we build, how we curate the ecosystem, and how partner data becomes events our customers trust.\n\n - Leverage Data and AI Thoughtfully: Find where AI can take effort out of reporting, from auto-drafting events to triaging signals from partner systems, in a sensible, safe and impactful way. Collaborate cross-functionally to drive ethical AI practices.\n\n - Measure and Communicate Success: Own the pillar metrics, such as time from incident to published event, the share of events with supporting evidence, and the share of events auto-drafted by AI or integrations. Drive the response when they move, and make outcomes and learnings visible to stakeholders and the wider business.\n\n - Mentorship and coaching: Coach and mentor your team of product managers to ensure they are effective.\n\n\n\nYou’re the ideal candidate if you have/are:\n\n\n\n - Multiple years experience managing and leading teams of at least 3 product managers.\n\n - A proven track record delivering world class B2B SaaS products to market.\n\n - Experience leading platform, API or data-ingestion products, ideally including third-party integrations or a partner ecosystem.\n\n - Strong strategic thinker with a history of owning and driving product strategy.\n\n - Strong executor with a proven track record of shipping products fast to a high quality.\n\n - Demonstrate strong commercial acumen with the ability to drive the financial side of product at the strategic cross-product line level.\n\n - Demonstrated the ability to level up product development practices with AI tools, either in your day job or through side projects\n\n - Experience building teams that love to work together and produce world class results.\n\n - Strong people manager who cares deeply about the people around them, growing their careers and enabling them to do their best work.\n\n - Excellent communication skills, both verbal and written. Thoughtful, high empathy and social intelligence, with the ability to deliver all types of information and context to different people in ways that resonate.\n\n - A desire to be a thought leader in this space and contributing, networking with the product management community. Through this, you’ll help Auror become known as one of the very best product teams around.\n\n - Proactive, organised, focused, and with a strong bias for action and forward momentum.\n\n\n\nNice to have\n\n\n\n - Experience working on products with a global scale (and teams in multiple regions and timezones)\n\n - Experience innovating with new technologies (including AI & machine learning)\n\n - Experience with mobile products used by frontline or field workers, or with enterprise identity, permissions and data governance\n\n\nWe are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our Careers page https://www.auror.co/company-careers).\n\nWith diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.\n\n\nWhat are the benefits like?\n\n\n\n - Competitive salary range: $185,000-$260,000 depending on level of experience (PL5/PL6)\n\n - Employee share scheme: You’ll own part of a company making a real difference!\n\n - Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.\n\n - 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.\n\n - 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 three expert sessions paid for every year.\n\n - nib Health Care Plan: Auror covers 100% of the cost of your individual health insurance plan.\n\n - Family-friendly: We offer comprehensive parental leave and benefits for primary and non-primary caregivers, including a baby bonus and meals delivered to your door.\n\n - Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.\n\n - Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.\n\n\nWhat are the next steps?\n\n\n\nIf you’re excited about our mission and you have experience and a passion for this role, please hit “Apply” below. We’re proud that Auror is a place where everyone can learn and grow. So if you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway as we’d love to hear from you!\n\n\n\nOnce you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there."}],"apiVersion":"1"}