The role / impact As a Senior Engineer in Security Defence, you'll design, build and operate the capabilities that help Xero detect and respond to security threats. You'll work across Security Operations, Security Response, CX, Product and Engineering, turning threat intelligence and security requirements into reliable, measurable security controls that keep our customers and our business safe. You'll lead complex technical work, help shape our engineering direction, and build a culture of shared ownership and continuous learning across Security Defence and the wider Security team. It's a role for people who like to Go Bold on hard problems, backed by a team that knows how to Go Fast and figure things out together. The team / how they connect Security Defence sits at the centre of how Xero detects, investigates and responds to threats. The team covers detection engineering and security automation, working closely with Security Operations, Security Response and Product Engineering to turn intelligence into practical controls. It's a close knit group that shares knowledge openly, challenges assumptions constructively, and backs each other through high pressure moments. The team is currently working on / Initially, you will focus on Detection, monitoring and response workflows across SIEM, SOAR, EDR and cloud security platforms Automation that reduces manual toil and speeds up how Security Operations respond to threats Ways to measure detection coverage, control effectiveness and operational reliability Safe, valuable ways to bring automation and AI into security engineering Where and how you can work This role can be based in Auckland or Wellington, offering a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. Here are some of the things we're looking for You bring hands on experience designing, building and operating production security capabilities or services. Your programming or scripting skills, ideally in Python, help you apply sound software engineering practices to security problems. Security monitoring, detection, threat intelligence, incident response and automation are all areas you know well, alongside tools such as SIEM, SOAR, EDR or cloud security platforms. Working in cloud environments feels natural to you, particularly AWS, along with cloud logging, identity, networking and security services. You understand adversary behaviours and frameworks like MITRE ATT&CK, and know how to measure detection coverage and control effectiveness. Leading complex technical initiatives and influencing outcomes without relying on formal authority comes naturally, and you can explain technical risk and trade offs with clarity. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Aug 28, 2026
Full time
The role / impact As a Senior Engineer in Security Defence, you'll design, build and operate the capabilities that help Xero detect and respond to security threats. You'll work across Security Operations, Security Response, CX, Product and Engineering, turning threat intelligence and security requirements into reliable, measurable security controls that keep our customers and our business safe. You'll lead complex technical work, help shape our engineering direction, and build a culture of shared ownership and continuous learning across Security Defence and the wider Security team. It's a role for people who like to Go Bold on hard problems, backed by a team that knows how to Go Fast and figure things out together. The team / how they connect Security Defence sits at the centre of how Xero detects, investigates and responds to threats. The team covers detection engineering and security automation, working closely with Security Operations, Security Response and Product Engineering to turn intelligence into practical controls. It's a close knit group that shares knowledge openly, challenges assumptions constructively, and backs each other through high pressure moments. The team is currently working on / Initially, you will focus on Detection, monitoring and response workflows across SIEM, SOAR, EDR and cloud security platforms Automation that reduces manual toil and speeds up how Security Operations respond to threats Ways to measure detection coverage, control effectiveness and operational reliability Safe, valuable ways to bring automation and AI into security engineering Where and how you can work This role can be based in Auckland or Wellington, offering a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. Here are some of the things we're looking for You bring hands on experience designing, building and operating production security capabilities or services. Your programming or scripting skills, ideally in Python, help you apply sound software engineering practices to security problems. Security monitoring, detection, threat intelligence, incident response and automation are all areas you know well, alongside tools such as SIEM, SOAR, EDR or cloud security platforms. Working in cloud environments feels natural to you, particularly AWS, along with cloud logging, identity, networking and security services. You understand adversary behaviours and frameworks like MITRE ATT&CK, and know how to measure detection coverage and control effectiveness. Leading complex technical initiatives and influencing outcomes without relying on formal authority comes naturally, and you can explain technical risk and trade offs with clarity. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
The role / impact As a Senior Engineer in Security Defence, you'll design, build and operate the capabilities that help Xero detect and respond to security threats. You'll work across Security Operations, Security Response, CX, Product and Engineering, turning threat intelligence and security requirements into reliable, measurable security controls that keep our customers and our business safe. You'll lead complex technical work, help shape our engineering direction, and build a culture of shared ownership and continuous learning across Security Defence and the wider Security team. It's a role for people who like to Go Bold on hard problems, backed by a team that knows how to Go Fast and figure things out together. The team / how they connect Security Defence sits at the centre of how Xero detects, investigates and responds to threats. The team covers detection engineering and security automation, working closely with Security Operations, Security Response and Product Engineering to turn intelligence into practical controls. It's a close knit group that shares knowledge openly, challenges assumptions constructively, and backs each other through high pressure moments. The team is currently working on / Initially, you will focus on Detection, monitoring and response workflows across SIEM, SOAR, EDR and cloud security platforms Automation that reduces manual toil and speeds up how Security Operations respond to threats Ways to measure detection coverage, control effectiveness and operational reliability Safe, valuable ways to bring automation and AI into security engineering Where and how you can work This role can be based in Auckland or Wellington, offering a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. Here are some of the things we're looking for You bring hands on experience designing, building and operating production security capabilities or services. Your programming or scripting skills, ideally in Python, help you apply sound software engineering practices to security problems. Security monitoring, detection, threat intelligence, incident response and automation are all areas you know well, alongside tools such as SIEM, SOAR, EDR or cloud security platforms. Working in cloud environments feels natural to you, particularly AWS, along with cloud logging, identity, networking and security services. You understand adversary behaviours and frameworks like MITRE ATT&CK, and know how to measure detection coverage and control effectiveness. Leading complex technical initiatives and influencing outcomes without relying on formal authority comes naturally, and you can explain technical risk and trade offs with clarity. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Aug 28, 2026
Full time
The role / impact As a Senior Engineer in Security Defence, you'll design, build and operate the capabilities that help Xero detect and respond to security threats. You'll work across Security Operations, Security Response, CX, Product and Engineering, turning threat intelligence and security requirements into reliable, measurable security controls that keep our customers and our business safe. You'll lead complex technical work, help shape our engineering direction, and build a culture of shared ownership and continuous learning across Security Defence and the wider Security team. It's a role for people who like to Go Bold on hard problems, backed by a team that knows how to Go Fast and figure things out together. The team / how they connect Security Defence sits at the centre of how Xero detects, investigates and responds to threats. The team covers detection engineering and security automation, working closely with Security Operations, Security Response and Product Engineering to turn intelligence into practical controls. It's a close knit group that shares knowledge openly, challenges assumptions constructively, and backs each other through high pressure moments. The team is currently working on / Initially, you will focus on Detection, monitoring and response workflows across SIEM, SOAR, EDR and cloud security platforms Automation that reduces manual toil and speeds up how Security Operations respond to threats Ways to measure detection coverage, control effectiveness and operational reliability Safe, valuable ways to bring automation and AI into security engineering Where and how you can work This role can be based in Auckland or Wellington, offering a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. Here are some of the things we're looking for You bring hands on experience designing, building and operating production security capabilities or services. Your programming or scripting skills, ideally in Python, help you apply sound software engineering practices to security problems. Security monitoring, detection, threat intelligence, incident response and automation are all areas you know well, alongside tools such as SIEM, SOAR, EDR or cloud security platforms. Working in cloud environments feels natural to you, particularly AWS, along with cloud logging, identity, networking and security services. You understand adversary behaviours and frameworks like MITRE ATT&CK, and know how to measure detection coverage and control effectiveness. Leading complex technical initiatives and influencing outcomes without relying on formal authority comes naturally, and you can explain technical risk and trade offs with clarity. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
The role & impact As Engineering Manager, you'll lead a high-performing, inclusive team of ML and platform engineers, responsible for turning research and models into production-grade ML infrastructure that runs at scale. You'll balance predictable delivery with a relentless focus on system health, taking the lead on MLOps maturity, observability and the operational realities of running AI systems in production, not just shipping features. You'll work closely with senior individual contributors, including staff and principal engineers, who shape the technical architecture, while you focus on team growth, delivery rigour and championing AI-native workflows across the software development lifecycle. This is a role for someone who wants to build both the systems and the people capable of running AI at Xero's scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team takes research and models from applied scientists and turns them into safe, scalable, production ML infrastructure that millions of small businesses rely on every day. It's a close, cross-functional group that partners tightly with Applied Science, Data Engineering and Product to move ideas from prototype to production. The team is currently working on Production ML infrastructure and MLOps supporting Xero's AI-native product suite Systems powering JAX (Just Ask Xero), Xero's conversational GenAI assistant Auto Bank Rec and smart document capture, including AI-powered transaction matching and extraction from bills and receipts Future work extending cash flow forecasting and other embedded ML capabilities Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role You'll bring a strong track record of leading, coaching and developing engineers, with real experience building team capability over time Strong technical judgement across architecture, system design and engineering trade-offs is part of how you naturally operate You've translated business goals into executable engineering plans, balancing short-term delivery against long-term system health Delivering roadmaps predictably in fast-paced, evolving environments is familiar territory for you You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team or support an incident Experience with machine learning or AI systems is a bonus rather than a requirement, though genuine curiosity about the space will help you thrive here Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Aug 20, 2026
Full time
The role & impact As Engineering Manager, you'll lead a high-performing, inclusive team of ML and platform engineers, responsible for turning research and models into production-grade ML infrastructure that runs at scale. You'll balance predictable delivery with a relentless focus on system health, taking the lead on MLOps maturity, observability and the operational realities of running AI systems in production, not just shipping features. You'll work closely with senior individual contributors, including staff and principal engineers, who shape the technical architecture, while you focus on team growth, delivery rigour and championing AI-native workflows across the software development lifecycle. This is a role for someone who wants to build both the systems and the people capable of running AI at Xero's scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team takes research and models from applied scientists and turns them into safe, scalable, production ML infrastructure that millions of small businesses rely on every day. It's a close, cross-functional group that partners tightly with Applied Science, Data Engineering and Product to move ideas from prototype to production. The team is currently working on Production ML infrastructure and MLOps supporting Xero's AI-native product suite Systems powering JAX (Just Ask Xero), Xero's conversational GenAI assistant Auto Bank Rec and smart document capture, including AI-powered transaction matching and extraction from bills and receipts Future work extending cash flow forecasting and other embedded ML capabilities Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role You'll bring a strong track record of leading, coaching and developing engineers, with real experience building team capability over time Strong technical judgement across architecture, system design and engineering trade-offs is part of how you naturally operate You've translated business goals into executable engineering plans, balancing short-term delivery against long-term system health Delivering roadmaps predictably in fast-paced, evolving environments is familiar territory for you You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team or support an incident Experience with machine learning or AI systems is a bonus rather than a requirement, though genuine curiosity about the space will help you thrive here Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
The role & impact As Engineering Manager, you'll lead a high-performing, inclusive team of ML and platform engineers, responsible for turning research and models into production-grade ML infrastructure that runs at scale. You'll balance predictable delivery with a relentless focus on system health, taking the lead on MLOps maturity, observability and the operational realities of running AI systems in production, not just shipping features. You'll work closely with senior individual contributors, including staff and principal engineers, who shape the technical architecture, while you focus on team growth, delivery rigour and championing AI-native workflows across the software development lifecycle. This is a role for someone who wants to build both the systems and the people capable of running AI at Xero's scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team takes research and models from applied scientists and turns them into safe, scalable, production ML infrastructure that millions of small businesses rely on every day. It's a close, cross-functional group that partners tightly with Applied Science, Data Engineering and Product to move ideas from prototype to production. The team is currently working on Production ML infrastructure and MLOps supporting Xero's AI-native product suite Systems powering JAX (Just Ask Xero), Xero's conversational GenAI assistant Auto Bank Rec and smart document capture, including AI-powered transaction matching and extraction from bills and receipts Future work extending cash flow forecasting and other embedded ML capabilities Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role You'll bring a strong track record of leading, coaching and developing engineers, with real experience building team capability over time Strong technical judgement across architecture, system design and engineering trade-offs is part of how you naturally operate You've translated business goals into executable engineering plans, balancing short-term delivery against long-term system health Delivering roadmaps predictably in fast-paced, evolving environments is familiar territory for you You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team or support an incident Experience with machine learning or AI systems is a bonus rather than a requirement, though genuine curiosity about the space will help you thrive here Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Aug 20, 2026
Full time
The role & impact As Engineering Manager, you'll lead a high-performing, inclusive team of ML and platform engineers, responsible for turning research and models into production-grade ML infrastructure that runs at scale. You'll balance predictable delivery with a relentless focus on system health, taking the lead on MLOps maturity, observability and the operational realities of running AI systems in production, not just shipping features. You'll work closely with senior individual contributors, including staff and principal engineers, who shape the technical architecture, while you focus on team growth, delivery rigour and championing AI-native workflows across the software development lifecycle. This is a role for someone who wants to build both the systems and the people capable of running AI at Xero's scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team takes research and models from applied scientists and turns them into safe, scalable, production ML infrastructure that millions of small businesses rely on every day. It's a close, cross-functional group that partners tightly with Applied Science, Data Engineering and Product to move ideas from prototype to production. The team is currently working on Production ML infrastructure and MLOps supporting Xero's AI-native product suite Systems powering JAX (Just Ask Xero), Xero's conversational GenAI assistant Auto Bank Rec and smart document capture, including AI-powered transaction matching and extraction from bills and receipts Future work extending cash flow forecasting and other embedded ML capabilities Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role You'll bring a strong track record of leading, coaching and developing engineers, with real experience building team capability over time Strong technical judgement across architecture, system design and engineering trade-offs is part of how you naturally operate You've translated business goals into executable engineering plans, balancing short-term delivery against long-term system health Delivering roadmaps predictably in fast-paced, evolving environments is familiar territory for you You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team or support an incident Experience with machine learning or AI systems is a bonus rather than a requirement, though genuine curiosity about the space will help you thrive here Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
The role / impact: As a Data Analyst supporting our Customer Experience and Payment Operations teams, you’ll turn raw data into decisions that matter, from monthly business reviews to headcount planning. Payment Operations doesn’t currently have dedicated analytics support, so you’ll start by building that foundation before broadening out to cover both departments. Your analysis feeds straight into conversations with senior leaders: helping shape service level agreements, informing performance reviews, and guiding decisions on where the team invests its time and people. Accuracy counts here, since your numbers influence bonus and resourcing decisions across two departments. The team & how they connect You’ll sit within the workforce team, working alongside a Workforce Analyst who focuses on real time scheduling and short term forecasting while you take on deeper reporting and strategic analysis. Together you support Customer Experience and Payment Operations leaders across New Zealand, the US and the UK. It’s a genuinely connected team: even across time zones, everyone leans on each other’s data to make faster, better decisions. Initially, the role may focus on: Tools like Tableau and Zendesk Explore for reporting, forecasting and performance analysis Monthly business reviews and quarterly proficiency scoring to support performance and salary reviews Building out dedicated reporting support for Payment Operations from the ground up Longer term headcount and workforce planning models as the business scales Where and how you can work This role is based in New Zealand, working in a hybrid pattern that blends time in the office with time at home. Your first 60 days will run on an earlier start to overlap with our US colleagues while you onboard, moving to standard hours once you’re settled in. Boost days bring the team together in person throughout the year to connect, collaborate and celebrate. Here are some of the things we’re looking for, for this role: You’ll bring sharp analytical skills and comfort working across data from more than one department. Confidence with reporting tools such as Tableau and Zendesk Explore. Executive presence, since you’ll regularly present findings to senior leaders and the C-suite. A solutions focused mindset, able to bring stakeholders along on data driven recommendations, even when they’re new to the detail. Precision and care with numbers, given how directly your reporting shapes bonus and resourcing decisions. A collaborative approach, comfortable supporting more than one department at once. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Jul 22, 2026
Full time
The role / impact: As a Data Analyst supporting our Customer Experience and Payment Operations teams, you’ll turn raw data into decisions that matter, from monthly business reviews to headcount planning. Payment Operations doesn’t currently have dedicated analytics support, so you’ll start by building that foundation before broadening out to cover both departments. Your analysis feeds straight into conversations with senior leaders: helping shape service level agreements, informing performance reviews, and guiding decisions on where the team invests its time and people. Accuracy counts here, since your numbers influence bonus and resourcing decisions across two departments. The team & how they connect You’ll sit within the workforce team, working alongside a Workforce Analyst who focuses on real time scheduling and short term forecasting while you take on deeper reporting and strategic analysis. Together you support Customer Experience and Payment Operations leaders across New Zealand, the US and the UK. It’s a genuinely connected team: even across time zones, everyone leans on each other’s data to make faster, better decisions. Initially, the role may focus on: Tools like Tableau and Zendesk Explore for reporting, forecasting and performance analysis Monthly business reviews and quarterly proficiency scoring to support performance and salary reviews Building out dedicated reporting support for Payment Operations from the ground up Longer term headcount and workforce planning models as the business scales Where and how you can work This role is based in New Zealand, working in a hybrid pattern that blends time in the office with time at home. Your first 60 days will run on an earlier start to overlap with our US colleagues while you onboard, moving to standard hours once you’re settled in. Boost days bring the team together in person throughout the year to connect, collaborate and celebrate. Here are some of the things we’re looking for, for this role: You’ll bring sharp analytical skills and comfort working across data from more than one department. Confidence with reporting tools such as Tableau and Zendesk Explore. Executive presence, since you’ll regularly present findings to senior leaders and the C-suite. A solutions focused mindset, able to bring stakeholders along on data driven recommendations, even when they’re new to the detail. Precision and care with numbers, given how directly your reporting shapes bonus and resourcing decisions. A collaborative approach, comfortable supporting more than one department at once. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
The role / impact: As a Data Analyst supporting our Customer Experience and Payment Operations teams, you’ll turn raw data into decisions that matter, from monthly business reviews to headcount planning. Payment Operations doesn’t currently have dedicated analytics support, so you’ll start by building that foundation before broadening out to cover both departments. Your analysis feeds straight into conversations with senior leaders: helping shape service level agreements, informing performance reviews, and guiding decisions on where the team invests its time and people. Accuracy counts here, since your numbers influence bonus and resourcing decisions across two departments. The team & how they connect You’ll sit within the workforce team, working alongside a Workforce Analyst who focuses on real time scheduling and short term forecasting while you take on deeper reporting and strategic analysis. Together you support Customer Experience and Payment Operations leaders across New Zealand, the US and the UK. It’s a genuinely connected team: even across time zones, everyone leans on each other’s data to make faster, better decisions. Initially, the role may focus on: Tools like Tableau and Zendesk Explore for reporting, forecasting and performance analysis Monthly business reviews and quarterly proficiency scoring to support performance and salary reviews Building out dedicated reporting support for Payment Operations from the ground up Longer term headcount and workforce planning models as the business scales Where and how you can work This role is based in New Zealand, working in a hybrid pattern that blends time in the office with time at home. Your first 60 days will run on an earlier start to overlap with our US colleagues while you onboard, moving to standard hours once you’re settled in. Boost days bring the team together in person throughout the year to connect, collaborate and celebrate. Here are some of the things we’re looking for, for this role: You’ll bring sharp analytical skills and comfort working across data from more than one department. Confidence with reporting tools such as Tableau and Zendesk Explore. Executive presence, since you’ll regularly present findings to senior leaders and the C-suite. A solutions focused mindset, able to bring stakeholders along on data driven recommendations, even when they’re new to the detail. Precision and care with numbers, given how directly your reporting shapes bonus and resourcing decisions. A collaborative approach, comfortable supporting more than one department at once. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Jul 22, 2026
Full time
The role / impact: As a Data Analyst supporting our Customer Experience and Payment Operations teams, you’ll turn raw data into decisions that matter, from monthly business reviews to headcount planning. Payment Operations doesn’t currently have dedicated analytics support, so you’ll start by building that foundation before broadening out to cover both departments. Your analysis feeds straight into conversations with senior leaders: helping shape service level agreements, informing performance reviews, and guiding decisions on where the team invests its time and people. Accuracy counts here, since your numbers influence bonus and resourcing decisions across two departments. The team & how they connect You’ll sit within the workforce team, working alongside a Workforce Analyst who focuses on real time scheduling and short term forecasting while you take on deeper reporting and strategic analysis. Together you support Customer Experience and Payment Operations leaders across New Zealand, the US and the UK. It’s a genuinely connected team: even across time zones, everyone leans on each other’s data to make faster, better decisions. Initially, the role may focus on: Tools like Tableau and Zendesk Explore for reporting, forecasting and performance analysis Monthly business reviews and quarterly proficiency scoring to support performance and salary reviews Building out dedicated reporting support for Payment Operations from the ground up Longer term headcount and workforce planning models as the business scales Where and how you can work This role is based in New Zealand, working in a hybrid pattern that blends time in the office with time at home. Your first 60 days will run on an earlier start to overlap with our US colleagues while you onboard, moving to standard hours once you’re settled in. Boost days bring the team together in person throughout the year to connect, collaborate and celebrate. Here are some of the things we’re looking for, for this role: You’ll bring sharp analytical skills and comfort working across data from more than one department. Confidence with reporting tools such as Tableau and Zendesk Explore. Executive presence, since you’ll regularly present findings to senior leaders and the C-suite. A solutions focused mindset, able to bring stakeholders along on data driven recommendations, even when they’re new to the detail. Precision and care with numbers, given how directly your reporting shapes bonus and resourcing decisions. A collaborative approach, comfortable supporting more than one department at once. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
