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Leads the design and development of data platform infrastructure and systems to support the organization's financial services operations.
Lead Engineer drives technical architecture and delivery of complex web platforms using Drupal/PHP, mentors engineering teams, and partners with cross-functional stakeholders on scalable digital solutions.
Headquarters: Remote (US)
At Current, Lead Engineers drive the technical direction and delivery of complex digital experiences across multiple client engagements. You’ll partner closely with cross-functional teams across strategy, design, production, and engineering to build scalable, high-quality digital platforms and applications.
Lead Engineers are both strategic and hands-on technical leaders. You’re comfortable architecting solutions, guiding engineering teams, collaborating directly with clients, and jumping into execution when needed. This role is ideal for someone who enjoys solving complex technical challenges while helping shape engineering standards and best practices across the agency.
At Current, we believe the best digital work happens when strategy, design, production, and technology operate as one team. We partner with ambitious brands to create digital experiences that are thoughtful, scalable, and built to drive real impact.
We’re a remote-first agency with teams across the US, working collaboratively across websites, platforms, campaigns, CRM ecosystems, and digital product experiences. Our environment is fast-paced, highly collaborative, and built for people who enjoy solving complex technical challenges alongside smart, supportive teammates.
You’ll have the opportunity to work across a variety of clients and technologies, contribute to meaningful digital experiences, and help shape the future of engineering within a growing agency environment.
The target range of base compensation for this role is $120,000 - $145,000 annually. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and location.
To apply: https://weworkremotely.com/remote-jobs/current-lead-engineer-drupal-web-platforms
Leads engineering team as Director, sets technical vision and AI strategy, translates business goals into roadmaps, and builds AI-native product capabilities.
Sunday
Director of Engineering
Full-time · Reports to CEO/Leadership Team · Boulder, CO or Remote
About the Role
Sunday is looking for a Director of Engineering to lead and elevate a talented, close-knit engineering team through a pivotal moment. We’re building something novel in the lawn care category, not reinventing an existing category, and our engineers are energized by that focus. This role exists to protect and grow that momentum: setting technical vision, building org-level capability, and bringing in an AI focus.
This is a hands-on leadership role with real strategic ownership. You’ll need to be credible in the weeds, able to understand what’s happening in the codebase and the business, while also sitting close to company leadership, translating company vision into an engineering roadmap, and making the structural calls the team doesn’t have bandwidth to make themselves.
Above all, we need a builder. Someone who gets genuinely excited about writing code and shipping products, not solely a people manager. You’ll rally the team by being in it with them, and you’ll partner directly with Product as a true collaborator, not an order-taker: we need someone who understands how product and engineering decisions shape each other.
Vision & Strategy
AI-Native Product Direction
Technical Maturity & Architecture
Org Building & Talent
Execution & Delivery
Cross-Functional Leadership & Product Partnership
What Success Looks Like
What You Bring
A Note on Team Culture
Sunday’s engineering team values being in the weeds together, moving quickly, and staying focused on one clear, differentiated product direction. We’re looking for a leader who amplifies that — someone the team describes the way they describe their best examples of leadership: present, communicative, and unafraid to tackle the hard stuff directly.
As a company rooted in nature, we deeply understand the benefits of diversity. We work to build a culture that attracts a diverse mix of talented people to help us bring lawn care out of the dark ages. We are committed to building a diverse, vibrant team that brings determination and passion to our work everyday.
Lead engineering team as hands-on director, set technical vision aligned with business goals, and drive AI/LLM strategy across the product and codebase.
Sunday
Director of Engineering
Full-time · Reports to CEO/Leadership Team · Boulder, CO or Remote
About the Role
Sunday is looking for a Director of Engineering to lead and elevate a talented, close-knit engineering team through a pivotal moment. We’re building something novel in the lawn care category, not reinventing an existing category, and our engineers are energized by that focus. This role exists to protect and grow that momentum: setting technical vision, building org-level capability, and bringing in an AI focus.
This is a hands-on leadership role with real strategic ownership. You’ll need to be credible in the weeds, able to understand what’s happening in the codebase and the business, while also sitting close to company leadership, translating company vision into an engineering roadmap, and making the structural calls the team doesn’t have bandwidth to make themselves.
Above all, we need a builder. Someone who gets genuinely excited about writing code and shipping products, not solely a people manager. You’ll rally the team by being in it with them, and you’ll partner directly with Product as a true collaborator, not an order-taker: we need someone who understands how product and engineering decisions shape each other.
Vision & Strategy
AI-Native Product Direction
Technical Maturity & Architecture
Org Building & Talent
Execution & Delivery
Cross-Functional Leadership & Product Partnership
What Success Looks Like
What You Bring
A Note on Team Culture
Sunday’s engineering team values being in the weeds together, moving quickly, and staying focused on one clear, differentiated product direction. We’re looking for a leader who amplifies that — someone the team describes the way they describe their best examples of leadership: present, communicative, and unafraid to tackle the hard stuff directly.
As a company rooted in nature, we deeply understand the benefits of diversity. We work to build a culture that attracts a diverse mix of talented people to help us bring lawn care out of the dark ages. We are committed to building a diverse, vibrant team that brings determination and passion to our work everyday.
Staff engineer designs and leads backend systems for Canva's experimentation platform, enabling A/B testing, variant management, and outcome measurement at scale.
Where and how you can work
Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that’s from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.
Join the team redefining how the world experiences design.
Hey, g’day, mabuhay, kia ora,ä˝ ĺĄ˝, hallo, vĂtejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.
What you’d be doing in this role:
Canva is making experimentation a much bigger part of how we build and ship product.
At our scale, shipping changes and watching what happens isn’t enough. Teams need to know whether a change actually improved the product and catch changes that unexpectedly hurt important guardrails such as retention or application performance.
This Staff Software Engineer will provide senior technical leadership across the backend systems behind Canva’s experimentation programme.
You’ll help evolve the platform teams use to set up experiments, target users, expose variants and measure outcomes in the safest and most intuitive way possible. We’re moving towards a platform that does more than report results. It should reinforce good experimentation practices, surface signals faster and alert early when things go wrong.
With the advent of AI, we’re also looking at how we can automate more of the analysis process to help our teams learn faster and iterate.
You’ll take ownership of significant technical problems, work with senior leaders across Canva and help shape where the platform should go next by working with the teams building the platform.
You’re probably a match:
We’d love to hear from you if you fit one or more of these. You don’t need to meet all of them, but the more the better and if you join the team, we’re invested in helping you grow.
Experience:
Backend platform engineering: You’ve built backend systems or platforms that other engineers depend on, and understand what changes when your software becomes part of somebody else’s critical path.
Experimentation exposure at scale: You’ve built, operated or worked deeply with experimentation, A/B testing, feature-management or progressive-rollout systems in a large engineering environment.
Technical leadership: You’ve taken ambiguous engineering problems, formed a technical direction and helped other engineers move towards an outcome.
Driving adoption: You’ve built internal platforms or capabilities and understand that the technology only succeeds when other teams trust and use it.
Technical knowledge:
Backend and distributed systems: Strong software engineering fundamentals, with experience designing reliable backend systems and reasoning about scalability, availability, consistency and failure modes.
Data systems: Enough familiarity with data engineering, analytics engineering or large-scale data processing to understand how experimentation data is generated, moved and consumed.
Experimentation concepts: Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout.
Language depth: Java is our primary language and would be useful, but it isn’t a hard requirement. At Staff level, we’re more interested in strong engineering fundamentals and your ability to transfer them between languages.
Nice to haves:
You’ve built this before: Direct experience designing or building experimentation, A/B testing, feature-management or rollout infrastructure — either inside a large technology company or for a platform vendor.
Data crossover: A background spanning software engineering and data science, data engineering or analytics engineering.
Feature flags: Experience building feature flagging, user targeting, progressive rollout or automated guardrail systems.
Statistical intuition: You don’t need to be a data scientist, but being comfortable enough with experimentation and statistics to work closely with one will be valuable.
About the Group & Team:
This role sits within Rollout Insights, the subgroup responsible for experimentation at Canva.
The team builds shared experimentation capabilities used across the company.
Engineers use the platform to configure and launch experiments. Data scientists use the resulting data to understand impact. Product teams use those insights to decide what should roll out, change or stop.
The team already brings together software engineering and senior data science expertise, which matters because the hardest problems sit across both disciplines.
You’ll also collaborate broadly across Canva’s engineering and data science organisations, including with senior technical leaders who depend on the platform.
Experimentation is now a major company priority, so demand for the team’s capabilities is growing quickly. There’s already a platform to build from, with plenty of important technical work still ahead.
What’s in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
Here’s a taste of what’s on offer:
Check out lifeatcanva.com for more info.
Other stuff to know
We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience — you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side.
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva, so even if you don’t feel like your skills quite match what’s listed above — we still want to hear from you!
Please note that interviews are conducted virtually.
Staff software engineer designs and leads backend systems for Canva's experimentation platform, enabling teams to safely run A/B tests, measure outcomes, and automate analysis.
Where and how you can work
Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that’s from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.
Join the team redefining how the world experiences design.
Hey, g’day, mabuhay, kia ora,ä˝ ĺĄ˝, hallo, vĂtejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.
What you’d be doing in this role:
Canva is making experimentation a much bigger part of how we build and ship product.
At our scale, shipping changes and watching what happens isn’t enough. Teams need to know whether a change actually improved the product and catch changes that unexpectedly hurt important guardrails such as retention or application performance.
This Staff Software Engineer will provide senior technical leadership across the backend systems behind Canva’s experimentation programme.
You’ll help evolve the platform teams use to set up experiments, target users, expose variants and measure outcomes in the safest and most intuitive way possible. We’re moving towards a platform that does more than report results. It should reinforce good experimentation practices, surface signals faster and alert early when things go wrong.
With the advent of AI, we’re also looking at how we can automate more of the analysis process to help our teams learn faster and iterate.
You’ll take ownership of significant technical problems, work with senior leaders across Canva and help shape where the platform should go next by working with the teams building the platform.
You’re probably a match:
We’d love to hear from you if you fit one or more of these. You don’t need to meet all of them, but the more the better and if you join the team, we’re invested in helping you grow.
Experience:
Backend platform engineering: You’ve built backend systems or platforms that other engineers depend on, and understand what changes when your software becomes part of somebody else’s critical path.
Experimentation exposure at scale: You’ve built, operated or worked deeply with experimentation, A/B testing, feature-management or progressive-rollout systems in a large engineering environment.
Technical leadership: You’ve taken ambiguous engineering problems, formed a technical direction and helped other engineers move towards an outcome.
Driving adoption: You’ve built internal platforms or capabilities and understand that the technology only succeeds when other teams trust and use it.
Technical knowledge:
Backend and distributed systems: Strong software engineering fundamentals, with experience designing reliable backend systems and reasoning about scalability, availability, consistency and failure modes.
Data systems: Enough familiarity with data engineering, analytics engineering or large-scale data processing to understand how experimentation data is generated, moved and consumed.
Experimentation concepts: Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout.
Language depth: Java is our primary language and would be useful, but it isn’t a hard requirement. At Staff level, we’re more interested in strong engineering fundamentals and your ability to transfer them between languages.
Nice to haves:
You’ve built this before: Direct experience designing or building experimentation, A/B testing, feature-management or rollout infrastructure — either inside a large technology company or for a platform vendor.
Data crossover: A background spanning software engineering and data science, data engineering or analytics engineering.
Feature flags: Experience building feature flagging, user targeting, progressive rollout or automated guardrail systems.
Statistical intuition: You don’t need to be a data scientist, but being comfortable enough with experimentation and statistics to work closely with one will be valuable.
About the Group & Team:
This role sits within Rollout Insights, the subgroup responsible for experimentation at Canva.
The team builds shared experimentation capabilities used across the company.
Engineers use the platform to configure and launch experiments. Data scientists use the resulting data to understand impact. Product teams use those insights to decide what should roll out, change or stop.
The team already brings together software engineering and senior data science expertise, which matters because the hardest problems sit across both disciplines.
You’ll also collaborate broadly across Canva’s engineering and data science organisations, including with senior technical leaders who depend on the platform.
Experimentation is now a major company priority, so demand for the team’s capabilities is growing quickly. There’s already a platform to build from, with plenty of important technical work still ahead.
What’s in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
Here’s a taste of what’s on offer:
Check out lifeatcanva.com for more info.
Other stuff to know
We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience — you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side.
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva, so even if you don’t feel like your skills quite match what’s listed above — we still want to hear from you!
Please note that interviews are conducted virtually.
Staff engineer leads technical development of Canva's experimentation platform, building backend systems for A/B testing, variant exposure, and outcome measurement at scale.
Where and how you can work
Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that’s from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.
Join the team redefining how the world experiences design.
Hey, g’day, mabuhay, kia ora,ä˝ ĺĄ˝, hallo, vĂtejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.
What you’d be doing in this role:
Canva is making experimentation a much bigger part of how we build and ship product.
At our scale, shipping changes and watching what happens isn’t enough. Teams need to know whether a change actually improved the product and catch changes that unexpectedly hurt important guardrails such as retention or application performance.
This Staff Software Engineer will provide senior technical leadership across the backend systems behind Canva’s experimentation programme.
You’ll help evolve the platform teams use to set up experiments, target users, expose variants and measure outcomes in the safest and most intuitive way possible. We’re moving towards a platform that does more than report results. It should reinforce good experimentation practices, surface signals faster and alert early when things go wrong.
With the advent of AI, we’re also looking at how we can automate more of the analysis process to help our teams learn faster and iterate.
You’ll take ownership of significant technical problems, work with senior leaders across Canva and help shape where the platform should go next by working with the teams building the platform.
You’re probably a match:
We’d love to hear from you if you fit one or more of these. You don’t need to meet all of them, but the more the better and if you join the team, we’re invested in helping you grow.
Experience:
Backend platform engineering: You’ve built backend systems or platforms that other engineers depend on, and understand what changes when your software becomes part of somebody else’s critical path.
Experimentation exposure at scale: You’ve built, operated or worked deeply with experimentation, A/B testing, feature-management or progressive-rollout systems in a large engineering environment.
Technical leadership: You’ve taken ambiguous engineering problems, formed a technical direction and helped other engineers move towards an outcome.
Driving adoption: You’ve built internal platforms or capabilities and understand that the technology only succeeds when other teams trust and use it.
Technical knowledge:
Backend and distributed systems: Strong software engineering fundamentals, with experience designing reliable backend systems and reasoning about scalability, availability, consistency and failure modes.
Data systems: Enough familiarity with data engineering, analytics engineering or large-scale data processing to understand how experimentation data is generated, moved and consumed.
Experimentation concepts: Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout.
Language depth: Java is our primary language and would be useful, but it isn’t a hard requirement. At Staff level, we’re more interested in strong engineering fundamentals and your ability to transfer them between languages.
Nice to haves:
You’ve built this before: Direct experience designing or building experimentation, A/B testing, feature-management or rollout infrastructure — either inside a large technology company or for a platform vendor.
Data crossover: A background spanning software engineering and data science, data engineering or analytics engineering.
Feature flags: Experience building feature flagging, user targeting, progressive rollout or automated guardrail systems.
Statistical intuition: You don’t need to be a data scientist, but being comfortable enough with experimentation and statistics to work closely with one will be valuable.
About the Group & Team:
This role sits within Rollout Insights, the subgroup responsible for experimentation at Canva.
The team builds shared experimentation capabilities used across the company.
Engineers use the platform to configure and launch experiments. Data scientists use the resulting data to understand impact. Product teams use those insights to decide what should roll out, change or stop.
The team already brings together software engineering and senior data science expertise, which matters because the hardest problems sit across both disciplines.
You’ll also collaborate broadly across Canva’s engineering and data science organisations, including with senior technical leaders who depend on the platform.
Experimentation is now a major company priority, so demand for the team’s capabilities is growing quickly. There’s already a platform to build from, with plenty of important technical work still ahead.
What’s in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
Here’s a taste of what’s on offer:
Check out lifeatcanva.com for more info.
Other stuff to know
We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience — you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side.
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva, so even if you don’t feel like your skills quite match what’s listed above — we still want to hear from you!
Please note that interviews are conducted virtually.
Staff software engineer designs and maintains backend systems for Canva's experimentation platform, enabling teams to safely test product changes and measure outcomes at scale.
Where and how you can work
Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that’s from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.
Join the team redefining how the world experiences design.
Hey, g’day, mabuhay, kia ora,ä˝ ĺĄ˝, hallo, vĂtejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.
What you’d be doing in this role:
Canva is making experimentation a much bigger part of how we build and ship product.
At our scale, shipping changes and watching what happens isn’t enough. Teams need to know whether a change actually improved the product and catch changes that unexpectedly hurt important guardrails such as retention or application performance.
This Staff Software Engineer will provide senior technical leadership across the backend systems behind Canva’s experimentation programme.
You’ll help evolve the platform teams use to set up experiments, target users, expose variants and measure outcomes in the safest and most intuitive way possible. We’re moving towards a platform that does more than report results. It should reinforce good experimentation practices, surface signals faster and alert early when things go wrong.
With the advent of AI, we’re also looking at how we can automate more of the analysis process to help our teams learn faster and iterate.
You’ll take ownership of significant technical problems, work with senior leaders across Canva and help shape where the platform should go next by working with the teams building the platform.
You’re probably a match:
We’d love to hear from you if you fit one or more of these. You don’t need to meet all of them, but the more the better and if you join the team, we’re invested in helping you grow.
Experience:
Backend platform engineering: You’ve built backend systems or platforms that other engineers depend on, and understand what changes when your software becomes part of somebody else’s critical path.
Experimentation exposure at scale: You’ve built, operated or worked deeply with experimentation, A/B testing, feature-management or progressive-rollout systems in a large engineering environment.
Technical leadership: You’ve taken ambiguous engineering problems, formed a technical direction and helped other engineers move towards an outcome.
Driving adoption: You’ve built internal platforms or capabilities and understand that the technology only succeeds when other teams trust and use it.
Technical knowledge:
Backend and distributed systems: Strong software engineering fundamentals, with experience designing reliable backend systems and reasoning about scalability, availability, consistency and failure modes.
Data systems: Enough familiarity with data engineering, analytics engineering or large-scale data processing to understand how experimentation data is generated, moved and consumed.
Experimentation concepts: Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout.
Language depth: Java is our primary language and would be useful, but it isn’t a hard requirement. At Staff level, we’re more interested in strong engineering fundamentals and your ability to transfer them between languages.
Nice to haves:
You’ve built this before: Direct experience designing or building experimentation, A/B testing, feature-management or rollout infrastructure — either inside a large technology company or for a platform vendor.
Data crossover: A background spanning software engineering and data science, data engineering or analytics engineering.
Feature flags: Experience building feature flagging, user targeting, progressive rollout or automated guardrail systems.
Statistical intuition: You don’t need to be a data scientist, but being comfortable enough with experimentation and statistics to work closely with one will be valuable.
About the Group & Team:
This role sits within Rollout Insights, the subgroup responsible for experimentation at Canva.
The team builds shared experimentation capabilities used across the company.
Engineers use the platform to configure and launch experiments. Data scientists use the resulting data to understand impact. Product teams use those insights to decide what should roll out, change or stop.
The team already brings together software engineering and senior data science expertise, which matters because the hardest problems sit across both disciplines.
You’ll also collaborate broadly across Canva’s engineering and data science organisations, including with senior technical leaders who depend on the platform.
Experimentation is now a major company priority, so demand for the team’s capabilities is growing quickly. There’s already a platform to build from, with plenty of important technical work still ahead.
What’s in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
Here’s a taste of what’s on offer:
Check out lifeatcanva.com for more info.
Other stuff to know
We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience — you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side.
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva, so even if you don’t feel like your skills quite match what’s listed above — we still want to hear from you!
Please note that interviews are conducted virtually.
Staff engineer leads backend systems and platform development for Canva's experimentation infrastructure, enabling teams to safely run A/B tests and measure product impact at scale.
Where and how you can work
Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that’s from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.
Join the team redefining how the world experiences design.
Hey, g’day, mabuhay, kia ora,ä˝ ĺĄ˝, hallo, vĂtejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.
What you’d be doing in this role:
Canva is making experimentation a much bigger part of how we build and ship product.
At our scale, shipping changes and watching what happens isn’t enough. Teams need to know whether a change actually improved the product and catch changes that unexpectedly hurt important guardrails such as retention or application performance.
This Staff Software Engineer will provide senior technical leadership across the backend systems behind Canva’s experimentation programme.
You’ll help evolve the platform teams use to set up experiments, target users, expose variants and measure outcomes in the safest and most intuitive way possible. We’re moving towards a platform that does more than report results. It should reinforce good experimentation practices, surface signals faster and alert early when things go wrong.
With the advent of AI, we’re also looking at how we can automate more of the analysis process to help our teams learn faster and iterate.
You’ll take ownership of significant technical problems, work with senior leaders across Canva and help shape where the platform should go next by working with the teams building the platform.
You’re probably a match:
We’d love to hear from you if you fit one or more of these. You don’t need to meet all of them, but the more the better and if you join the team, we’re invested in helping you grow.
Experience:
Backend platform engineering: You’ve built backend systems or platforms that other engineers depend on, and understand what changes when your software becomes part of somebody else’s critical path.
Experimentation exposure at scale: You’ve built, operated or worked deeply with experimentation, A/B testing, feature-management or progressive-rollout systems in a large engineering environment.
Technical leadership: You’ve taken ambiguous engineering problems, formed a technical direction and helped other engineers move towards an outcome.
Driving adoption: You’ve built internal platforms or capabilities and understand that the technology only succeeds when other teams trust and use it.
Technical knowledge:
Backend and distributed systems: Strong software engineering fundamentals, with experience designing reliable backend systems and reasoning about scalability, availability, consistency and failure modes.
Data systems: Enough familiarity with data engineering, analytics engineering or large-scale data processing to understand how experimentation data is generated, moved and consumed.
Experimentation concepts: Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout.
Language depth: Java is our primary language and would be useful, but it isn’t a hard requirement. At Staff level, we’re more interested in strong engineering fundamentals and your ability to transfer them between languages.
Nice to haves:
You’ve built this before: Direct experience designing or building experimentation, A/B testing, feature-management or rollout infrastructure — either inside a large technology company or for a platform vendor.
Data crossover: A background spanning software engineering and data science, data engineering or analytics engineering.
Feature flags: Experience building feature flagging, user targeting, progressive rollout or automated guardrail systems.
Statistical intuition: You don’t need to be a data scientist, but being comfortable enough with experimentation and statistics to work closely with one will be valuable.
About the Group & Team:
This role sits within Rollout Insights, the subgroup responsible for experimentation at Canva.
The team builds shared experimentation capabilities used across the company.
Engineers use the platform to configure and launch experiments. Data scientists use the resulting data to understand impact. Product teams use those insights to decide what should roll out, change or stop.
The team already brings together software engineering and senior data science expertise, which matters because the hardest problems sit across both disciplines.
You’ll also collaborate broadly across Canva’s engineering and data science organisations, including with senior technical leaders who depend on the platform.
Experimentation is now a major company priority, so demand for the team’s capabilities is growing quickly. There’s already a platform to build from, with plenty of important technical work still ahead.
What’s in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
Here’s a taste of what’s on offer:
Check out lifeatcanva.com for more info.
Other stuff to know
We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience — you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side.
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva, so even if you don’t feel like your skills quite match what’s listed above — we still want to hear from you!
Please note that interviews are conducted virtually.
Staff Software Engineer leads backend platform development for Canva's experimentation and A/B testing infrastructure, ensuring reliable feature rollouts and measurement systems.
Where and how you can work
Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that’s from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.
Join the team redefining how the world experiences design.
Hey, g’day, mabuhay, kia ora,ä˝ ĺĄ˝, hallo, vĂtejte!
Thanks for stopping by. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.
What you’d be doing in this role:
Canva is making experimentation a much bigger part of how we build and ship product.
At our scale, shipping changes and watching what happens isn’t enough. Teams need to know whether a change actually improved the product and catch changes that unexpectedly hurt important guardrails such as retention or application performance.
This Staff Software Engineer will provide senior technical leadership across the backend systems behind Canva’s experimentation programme.
You’ll help evolve the platform teams use to set up experiments, target users, expose variants and measure outcomes in the safest and most intuitive way possible. We’re moving towards a platform that does more than report results. It should reinforce good experimentation practices, surface signals faster and alert early when things go wrong.
With the advent of AI, we’re also looking at how we can automate more of the analysis process to help our teams learn faster and iterate.
You’ll take ownership of significant technical problems, work with senior leaders across Canva and help shape where the platform should go next by working with the teams building the platform.
You’re probably a match:
We’d love to hear from you if you fit one or more of these. You don’t need to meet all of them, but the more the better and if you join the team, we’re invested in helping you grow.
Experience:
Backend platform engineering: You’ve built backend systems or platforms that other engineers depend on, and understand what changes when your software becomes part of somebody else’s critical path.
Experimentation exposure at scale: You’ve built, operated or worked deeply with experimentation, A/B testing, feature-management or progressive-rollout systems in a large engineering environment.
Technical leadership: You’ve taken ambiguous engineering problems, formed a technical direction and helped other engineers move towards an outcome.
Driving adoption: You’ve built internal platforms or capabilities and understand that the technology only succeeds when other teams trust and use it.
Technical knowledge:
Backend and distributed systems: Strong software engineering fundamentals, with experience designing reliable backend systems and reasoning about scalability, availability, consistency and failure modes.
Data systems: Enough familiarity with data engineering, analytics engineering or large-scale data processing to understand how experimentation data is generated, moved and consumed.
Experimentation concepts: Familiarity with experiment assignment, targeting, variants, feature flags, metrics, guardrails and progressive rollout.
Language depth: Java is our primary language and would be useful, but it isn’t a hard requirement. At Staff level, we’re more interested in strong engineering fundamentals and your ability to transfer them between languages.
Nice to haves:
You’ve built this before: Direct experience designing or building experimentation, A/B testing, feature-management or rollout infrastructure — either inside a large technology company or for a platform vendor.
Data crossover: A background spanning software engineering and data science, data engineering or analytics engineering.
Feature flags: Experience building feature flagging, user targeting, progressive rollout or automated guardrail systems.
Statistical intuition: You don’t need to be a data scientist, but being comfortable enough with experimentation and statistics to work closely with one will be valuable.
About the Group & Team:
This role sits within Rollout Insights, the subgroup responsible for experimentation at Canva.
The team builds shared experimentation capabilities used across the company.
Engineers use the platform to configure and launch experiments. Data scientists use the resulting data to understand impact. Product teams use those insights to decide what should roll out, change or stop.
The team already brings together software engineering and senior data science expertise, which matters because the hardest problems sit across both disciplines.
You’ll also collaborate broadly across Canva’s engineering and data science organisations, including with senior technical leaders who depend on the platform.
Experimentation is now a major company priority, so demand for the team’s capabilities is growing quickly. There’s already a platform to build from, with plenty of important technical work still ahead.
What’s in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.
Here’s a taste of what’s on offer:
Check out lifeatcanva.com for more info.
Other stuff to know
We see AI as a powerful amplifier of creativity and technology at Canva. We’re evolving how we assess AI skills in our Technology hiring experience — you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side.
We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva, so even if you don’t feel like your skills quite match what’s listed above — we still want to hear from you!
Please note that interviews are conducted virtually.
Designs scalable technical architectures for enterprise AI, application, and MarTech solutions while hands-on coding with AI tools and leading engineering teams.
About RDA
RDA is a strategy-first, AI-driven digital consultancy that partners with enterprise organizations to deliver scalable digital solutions across strategy, engineering, and data. Proud to be a multi-year Great Place to Work certified company.
About the Role
RDA is seeking a hands-on Software Architect to define the technical vision for complex custom application, AI, and MarTech engagements. You will translate business requirements into scalable, secure architectures and guide solutions from discovery through delivery.
In this client-facing role, you will architect production agentic AI solutions, establish governance and observability practices, and ensure appropriate human review and controls. You will remain hands-on with tools such as Claude Code while leading teams, supporting pursuits, mentoring engineers, and contributing reusable patterns and accelerators.
Location: This is a remote U.S.-based position. Â Candidates located in the Eastern time zone are preferred, with Central time zone candidates also considered. Â RDA is unable to hire candidates residing in California, Colorado, Oregon, or Washington.
What You’ll Do
•   Lead technical discovery and define end-to-end architectures for custom application, AI, and MarTech engagements, including system diagrams, data flows, integration patterns, and technical roadmaps.
•   Architect and help deliver production agentic AI solutions, including tool use, function calling, multi-agent workflows, human-in-the-loop checkpoints, memory and state management, and autonomous task orchestration.
•   Use Claude Code and other modern AI-assisted development tools to build, validate, troubleshoot, and accelerate solutions while maintaining strong engineering and security standards.
•   Evaluate AI opportunities during the architecture phase and make informed build, integrate, and orchestrate decisions based on business needs, risk, scalability, and maintainability.
•   Establish AI governance and observability practices, including output monitoring, evaluation, access controls, data protection, human verification, and safeguards against risks such as prompt injection and data leakage.
•   Design cloud-native, distributed applications using .NET/C#, React/Next.js, Azure, modern APIs, microservices, event-driven patterns, databases, containerization, and CI/CD.
•   Partner with clients, business stakeholders, and pursuit teams to shape solutions, support technical discovery, develop estimates, and contribute to proposals and statements of work.
•   Mentor engineers, strengthen architectural thinking across delivery teams, and create reusable application patterns, AI accelerators, agentic workflow blueprints, and integration frameworks.
What You’ll Bring
•   8+ years of software engineering experience, including meaningful experience performing in an architecture capacity.
•   Hands-on experience delivering agentic AI solutions in production using real business data and operational workflows, not solely prototypes, demonstrations, or controlled pilots.
•   Practical experience using Claude Code to develop solutions; experience integrating Anthropic, OpenAI, or other LLM APIs is also valuable.
•   Substantive depth in either .NET/C# or React/Next.js, along with credible hands-on experience and the ability to architect across both.
•   Strong custom application and cloud-native architecture experience, including distributed systems, APIs, relational and non-relational databases, modern delivery practices, and integration with headless CMS platforms such as Storyblok, Sitecore, AI, or comparable solutions.
•   Experience with AI governance, observability, context engineering, RAG, prompt architecture, model evaluation, and the security considerations associated with production AI systems.
•   Consulting and client-facing experience with primarily commercial enterprises (e.g. not governmental entities), with the communication, judgment, adaptability, and initiative needed to guide stakeholders and move quickly across changing technologies and project needs.
Why Join RDA?
•   Solve real business challenges through modern application development and AI
•   Work on high-impact client projects across multiple industries
•   Grow in a supportive culture that values learning and innovation
•   Enjoy flexible remote work and competitive compensation
Ready to Make an Impact?
Apply today to meet our team virtually and explore whether RDA could be the right place for your next career move.
No third parties, please. Â Applicants must be U.S. citizens or U.S. permanent residents.
Engineering Manager leads a software engineering team building payment systems, ships production Java code, and sets technical direction while managing sprint ceremonies and delivery.
We read every application. No AI screening. A real person reviews your materials.
Job Summary
PayJunction is seeking an Engineering Manager to lead a team of software engineers from inside the code, still shipping production Java yourself, while setting technical direction, raising the quality bar, and making delivery predictable on a platform where a defect is a financial event.
Why PayJunction?
PayJunction is relentless and emphatic about helping others. We exist to drive the success of our partners. Specifically, the developers who connect to us, businesses who process payments through us, and all of our team members who work with us at PayJunction.
We believe dreams inspire people to start a business, and others to partner with them. While building dreams, entrepreneurs and business professionals will face many challenges along the way. We believe great partners can make all the difference.
We are your dream partner.
Your success is our success.
Our dream is to help you realize yours.
We exist to drive the success of our partners. We do this by fundamentally changing the way you transact with others. We just happen to make great payment systems. If you love helping others succeed, in a culture that celebrates perfecting your craft, consider partnering with us.
Location
PayJunction takes a Flex First approach to work environments. This means that our team members can choose to work from our Santa Barbara office or remotely from home. We ensure that everyone has the resources and equipment to work where they feel most productive. We trust our teams to make the best decision for their work environment. All PayJunction employees must reside in one of the following states: CA, IL, TX, MN, CO, GA, NY, MA, CT.
Mission
Our Engineering team’s mission is to design, develop, and maintain the products, technology, and systems that drive our partners’ success.
Vision
Thousands of partners love and rely on our platform to make payments simple.
Job Responsibilities
Qualifications
About PayJunction
Founded in 2000 by three UCSB graduates, PayJunction has grown from a bootstrapped startup to a recognized and respected leader in the payments industry. PayJunction processes more than $12 billion dollars annually for thousands of businesses with solutions that make it easy to accept credit and debit card payments in-store, online, and on-the-go.
Our people-first culture values long-term relationships over short-term profits. Honesty and integrity are part of every interaction with partners, customers and employees. We foster a collaborative work environment, where creative ideas are welcomed, teams are inspired, and success is celebrated. PayJunction is a place where you can find experienced mentors and supportive friends who are committed to your growth.
Total Rewards Plan
Office Environment
Company Values
The base salary range for this role is $190,000 - $220,000 per year plus our Total Rewards Plan benefit package. Actual base salary offered will vary depending on factors including but not limited to: education, experience, skills and qualifications.
PayJunction is an equal opportunity employer. We strive to create a work environment where people from all backgrounds and identities thrive. We firmly believe that more diversity and inclusion in our workforce creates a stronger team, product, and culture.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. PayJunction reserves the right to conduct background and/or credit checks on all of its potential employees.
Hands-on software architect who designs scalable cloud-native and agentic AI solutions, leads technical discovery, and mentors engineering teams on client engagements.
About RDA
RDA is a strategy-first, AI-driven digital consultancy that partners with enterprise organizations to deliver scalable digital solutions across strategy, engineering, and data. Proud to be a multi-year Great Place to Work certified company.
About the Role
RDA is seeking a hands-on Software Architect to define the technical vision for complex custom application, AI, and MarTech engagements. You will translate business requirements into scalable, secure architectures and guide solutions from discovery through delivery.
In this client-facing role, you will architect production agentic AI solutions, establish governance and observability practices, and ensure appropriate human review and controls. You will remain hands-on with tools such as Claude Code while leading teams, supporting pursuits, mentoring engineers, and contributing reusable patterns and accelerators.
Location: This is a remote U.S.-based position. Â Candidates located in the Eastern time zone are preferred, with Central time zone candidates also considered. Â RDA is unable to hire candidates residing in California, Colorado, Oregon, or Washington.
What You’ll Do
•   Lead technical discovery and define end-to-end architectures for custom application, AI, and MarTech engagements, including system diagrams, data flows, integration patterns, and technical roadmaps.
•   Architect and help deliver production agentic AI solutions, including tool use, function calling, multi-agent workflows, human-in-the-loop checkpoints, memory and state management, and autonomous task orchestration.
•   Use Claude Code and other modern AI-assisted development tools to build, validate, troubleshoot, and accelerate solutions while maintaining strong engineering and security standards.
•   Evaluate AI opportunities during the architecture phase and make informed build, integrate, and orchestrate decisions based on business needs, risk, scalability, and maintainability.
•   Establish AI governance and observability practices, including output monitoring, evaluation, access controls, data protection, human verification, and safeguards against risks such as prompt injection and data leakage.
•   Design cloud-native, distributed applications using .NET/C#, React/Next.js, Azure, modern APIs, microservices, event-driven patterns, databases, containerization, and CI/CD.
•   Partner with clients, business stakeholders, and pursuit teams to shape solutions, support technical discovery, develop estimates, and contribute to proposals and statements of work.
•   Mentor engineers, strengthen architectural thinking across delivery teams, and create reusable application patterns, AI accelerators, agentic workflow blueprints, and integration frameworks.
What You’ll Bring
•   8+ years of software engineering experience, including meaningful experience performing in an architecture capacity.
•   Hands-on experience delivering agentic AI solutions in production using real business data and operational workflows, not solely prototypes, demonstrations, or controlled pilots.
•   Practical experience using Claude Code to develop solutions; experience integrating Anthropic, OpenAI, or other LLM APIs is also valuable.
•   Substantive depth in either .NET/C# or React/Next.js, along with credible hands-on experience and the ability to architect across both.
•   Strong custom application and cloud-native architecture experience, including distributed systems, APIs, relational and non-relational databases, modern delivery practices, and integration with headless CMS platforms such as Storyblok, Sitecore, AI, or comparable solutions.
•   Experience with AI governance, observability, context engineering, RAG, prompt architecture, model evaluation, and the security considerations associated with production AI systems.
•   Consulting and client-facing experience with primarily commercial enterprises (e.g. not governmental entities), with the communication, judgment, adaptability, and initiative needed to guide stakeholders and move quickly across changing technologies and project needs.
Why Join RDA?
•   Solve real business challenges through modern application development and AI
•   Work on high-impact client projects across multiple industries
•   Grow in a supportive culture that values learning and innovation
•   Enjoy flexible remote work and competitive compensation
Ready to Make an Impact?
Apply today to meet our team virtually and explore whether RDA could be the right place for your next career move.
No third parties, please. Â Applicants must be U.S. citizens or U.S. permanent residents.
Staff ML Engineer designs, deploys, and maintains machine learning models and classifiers to detect child sexual abuse material, while mentoring other ML engineers across the organization.
At Thorn, our cause is our code. We are a nonprofit whose mission of defending children from sexual exploitation and abuse is deeply embedded within our core—a shared code that drives us to do challenging work with resilience and determination.
Here, you’ll work and grow among the best hearts and the best minds in tech, data, and business alongside our network of independent partners, NGOs, and law enforcement agencies. Together, we’re focused on building technology that protects children’s futures. We are looking for dynamic problem solvers with the desire to help address some of today’s toughest issues. You’ll collaborate with a diverse group of peers in a remote environment centered on wellness, care, and compassion.
In 2019, we took the stage atTED and shared our audacious goal of eliminating child sexual abuse material from the internet. Come join us to help make this goal a reality and build a world where every child can be safe, curious, and happy.
As a Staff ML Engineer at Thorn, this role will design, build, deploy and maintain world class models, classifiers and algorithms to increase Thorn’s capabilities to achieve our mission of the elimination of child sexual exploitation. They will be the go-to expert in one or more domains of machine learning and provide critical guidance to multiple teams across legal, engineering, product, business development and external affairs. They will directly contribute to the Machine Learning team’s critical function in Thorn’s mission - building automated solutions that:
They are responsible for ensuring that their work is high quality, as well as mentoring other ML Engineers. They will thrive in highly ambiguous problem spaces and be able to creatively design and build scalable solutions with minimum direction. They will demonstrate persistence and strong technical expertise to navigate legal, product, and technical constraints. They are responsible for partnering with the engineers, product manager and designers across different products to drive requirements, as well as any and all relevant external partners, taking into account all stakeholder needs.
Compensation and Benefits
A reasonable estimate of the compensation range for this role is $171,000-$235,750/year. This range takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to location; skill sets; experience and training; licensure, and certifications.
Our remote-first work model is structured around working from home most of the time. But, there will be times that employees are expected to travel. For example, Thorn may host company-wide gatherings, and smaller teams may hold in-person meetings and team-building events, or require attendance at specific conferences.
At Thorn, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Thorn can mean for you.
Thorn is strengthened by the wide range of experiences and perspectives on our team. We value the diversity of our professional backgrounds, subject matter expertise, cultures, and perspectives because they help us solve complex problems and serve our mission more effectively. We hire based on merit, qualifications, and organizational need, and we are committed to fostering an inclusive environment where all employees can thrive.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Thorn is committed to the full inclusion of all qualified individuals. We provide reasonable accommodations to ensure candidates and employees with disabilities can fully participate in the application process, perform essential job functions, and access all the benefits and privileges of employment. If you need an accommodation, please contact us at hiring@wearethorn.org
Know Your Rights: Workplace discrimination is illegal
Builds and maintains AI infrastructure and systems for ClickUp's converged AI workspace platform.
Develops frontend features for ClickUp's AI-powered workspace platform, building user interfaces for tasks, docs, chat, and calendar tools.
Leads engineering team responsible for developing electric vehicle and battery energy storage systems technology and infrastructure.
Designs and architects .NET-based software systems for enterprise clients, focusing on AI-integrated solutions and technical implementation strategies.
Leads Kubernetes and cloud infrastructure architecture, designs platform engineering solutions, and mentors DevOps teams for enterprise organizations.
Staff Technical Lead manages a small engineering team building AI-powered backend systems and services for HubSpot's marketing intelligence platform.
POS-11333
Our mission at HubSpot is to help millions of organizations grow better. Marketing Studio Intelligence is building the intelligence layer behind HubSpot’s next-generation marketing platform. We bring together campaign performance, marketing assets, CRM data, and AI to help marketers understand what’s working, uncover opportunities, and discover what to do next.
This is a deeply customer-focused space, where we work closely with marketers to understand real problems and turn rapidly evolving AI capabilities into simple, trustworthy experiences that deliver meaningful value.
As a Staff Technical Lead, you’ll lead a small team of 2 - 3 engineers while staying deeply hands-on. You’ll partner closely with Product and UX to shape and build AI systems at scale, tackling ambitious problems across agentic systems, intelligent decisioning, AI quality, and evaluation.
Nice to Have Qualifications
Direct marketing or recommendation-system experience is a plus, but not required. We also welcome candidates with transferable experience building customer-facing AI products in areas such as customer support, prospecting, content, advertising, or other decision-support domains.
Pay & Benefits
The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Individual compensation packages are determined using objective, role-related criteria, which may include skills, experience, qualifications, and other job-related factors.
This resource will help guide how we recommend thinking about the range you see.
Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
Annual Cash Compensation Range:
€132.000—€191.385 EUR
At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements
About HubSpot
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot’s connected platform enables businesses to grow faster by focusing on what matters most: customers.
At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
Explore more:
If you need accommodations or assistance due to a disability, please reach out to us using this form.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Germany Applicants: (m/f/d) - link to HubSpot’s Career Diversity page here.
India Applicants: link to HubSpot India’s equal opportunity policy here.
HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot’s Recruiting Privacy Notice for details on data processing and your rights.
