Note: if you are an intern, new grad, or staff applicant, please do not apply using this link and visit our jobs page for those specific postings.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the Organization 

The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability. 

Team Matching: exact team matching for one of the subteams within this org will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. 

What you’ll do

We’re looking for software engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner.

Responsibilities

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end.
• Work closely with engineers, designers, and product managers to build new features and products.
• Uphold our high engineering standards and bring consistency to the many codebases and processes you will encounter.
• Build elegant APIs and user experiences that enable merchants to run and scale their businesses on top of Stripe.
• Contribute to the design and architecture of the next generation of Stripe’s infrastructure, to meet the high growth needs of our company and customers for years to come.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops)
• You can work effectively across the stack from top to bottom, comfortably navigating codebases with different languages and tools.
• You’re equally as comfortable shipping user-facing experiences as you are writing custom queries to analyze experiment results.
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience working in high-growth teams similar to Stripe.
• Experience building financial systems or tools for financial experts.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe is one of the fastest growing technology companies in the world, and we’re scaling in every dimension: users, revenue, people, technology, processes, and more. The Production Eng team is building the systems that support Stripe’s API. We’re looking for people passionate about distilling complexity across a breadth of problems, caring deeply about both our infrastructure and the experience of using our platform. We are major contributors to the latency, reliability, and efficiency of Stripe’s API, and you’ll be responsible for ensuring we maintain a reliable and secure platform.

What you’ll do

Production Eng is a unique environment where you’ll be working across all of Stripe’s products, and truly steering the future of Stripe’s APIs, Developer, and User Experiences, and working with world class engineers.

Responsibilities

• Lead a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success.
• Partner with Engineering Managers to create roadmaps that deliver milestones toward a cohesive engineering vision.
• Understand user needs and pain points to prioritize engineering work and deliver high quality solutions that meet user needs.
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
• Work with high-visibility teams and their stakeholders to support the Infrastructure’s key engineering initiatives.
• Provide hands-on technical leadership (architecture/design, vision/direction/requirements setting, and incident response processes) for team members.
• Build amazing end-to-end API, developer experiences and Stripe’s public API infrastructure and tooling.
• Ensure our APIs are secure, reliable, and performant while solving product problems and building delightful API and developer experiences for our users.
• Building the future of the Stripe API and scaling Stripe’s API Infrastructure while working with product teams to extend the capabilities of our APIs.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• 10+ years of technical experience or 7+ years in infrastructure / platform engineering field
• 5+ years in a strategic technical leadership role
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products).
• Hands-on experience building infrastructure and products for internal or external customers
• Proven track record of delivering pragmatic solutions that accelerate business growth
• Ability to adjust conversations from high-level discussions to detailed coding
• Thrives on a high level of autonomy and responsibility
• Clear and persuasive writing and in-person communication
• Strong problem-solving skills, critical thinking, determination, and a growth mindset
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Proficient in at least one of the programming languages (Java, Ruby, Python, Go).

Preferred qualifications

• Strong written and verbal communication skills for different audiences (leadership, users, company-wide).
• Experience with a variety of common infrastructure platforms (databases, logging, event streams, metrics, caching, etc).
• Experience leading partially remote teams.
• Experience developing sustainable, in-house framework and abstraction ecosystems in large engineering orgs.
• Experience building serverless platforms.
• Experience managing rigorous incident response processes and on call rotations.

Note: if you are an intern, new grad, or staff applicant, please do not apply using this link and visit our jobs page for those specific postings.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the Organization 

The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability. 

Team Matching: exact team matching for one of the subteams within this org will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.  

What you’ll do

We’re looking for Backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product –  at Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests
• Debug and solve critical production issues across services and multiple levels of the stack
• Mentor engineers to help them grow
• Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes
• Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops)
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the largest and most influential platforms on the internet. 

As Reddit continues to scale globally, reliability and performance are more critical than ever. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.

We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.

This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can influence engineering culture across the organization.

What you’ll do:

• Lead Reliability Engineering for User Experience
• Drive reliability, scalability, and operational excellence for critical user facing systems and services. Improve performance and resiliency across APIs, content delivery, feed generation, search, messaging, and real-time experiences.
• Architect for Scale
• Partner with product and infrastructure engineering teams to design systems that remain highly available and performant under massive global load. Guide architectural decisions around failover, redundancy, graceful degradation, traffic management, and capacity planning.
• Reduce Operational Risk
• Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Build proactive mitigation strategies and drive engineering improvements that reduce incidents and improve service health.
• Drive Automation
• Eliminate repetitive operational work through automation and tooling. Build systems that improve deployment safety, incident response, remediation workflows, and reliability guardrails
• Incident Management
• Lead complex incident response efforts across engineering teams. Drive blameless postmortems, identify root causes, and ensure sustainable long-term fixes are implemented.

Influence Engineering Standards

• Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.

Mentor and Multiply Impact

• Provide technical leadership and mentorship to engineers across SRE and software engineering teams. Help shape reliability culture and raise the operational excellence bar across the organization.

What We’re Looking For

• 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.
• Strong collaboration and communication skills with the ability to influence technical direction across teams.
• Strong experience supporting high traffic, user facing production environments.
• Deep understanding of one or more: distributed systems, networking, Linux systems, cloud native architectures.
• Experience designing highly available systems with strong operational and reliability practices.
• Strong programming skills in languages such as Go, Python, or similar.
• Strong understanding of observability systems including metrics, logging, tracing, and alerting.
• Experience improving reliability through SLOs, automation, incident management, and performance optimization.
• Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services.

Nice to Have

• Experience operating systems at internet scale traffic volumes.
• Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
• Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
• Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
• Contributions to open source software or participation in technical communities.
• Experience leading large scale incident response and operational transformation initiatives.

Why Join Reddit?

You’ll help shape the reliability and performance of one of the internet’s largest platforms, influencing experiences used by millions of people every day. This is an opportunity to solve deeply complex engineering problems at massive scale while helping define the future of reliability engineering for a modern consumer platform.

Benefits

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Private Medical, Dental, and Vision Benefits
• Personal Retirement Savings Account with matching contribution
• Cycle to Work and Tax Saver schemes
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

About the Role

At PlayStation, we work to develop an inclusive and engaging environment where remarkable talent can excel. As a Staff Software Engineer, you will direct a devoted team enthusiastic about the kernel security of PlayStation devices. This is a unique opportunity to impact the security architecture of our premier gaming systems!

Strengthen our security team at our Dublin office and collaborate with a global console security group. You will refine low-level code and find innovative methods to engage with the OSS community. Your expertise will help maintain PlayStation platforms as the leading place to play!

Key Responsibilities

• Lead a small team in the analysis and improvement of kernel security for PlayStation devices.
• Collaborate with global teams to ensure alignment and successful implementation of security measures.
• Apply your skills in software development using C and C++ to contribute to the security framework.
• Understand and implement code hardening techniques to protect our systems.
• Work closely with validation teams to review code patches, confirming there is no performance impact or regression.
• Integrate external patches into our codebase and explain these changes to development teams.
• Suggest improvements in various areas based on your experience and develop preliminary models to demonstrate these ideas.
• Conduct daily scrum meetings and regularly follow up with the manager on team direction and goals.
• Provide mentorship for junior members on the team.

About You

• Confirmed experience in C/C++ software engineering with a focus on security.
• Strong communication and social skills.
• Ability to thrive in a collaborative, diverse environment.
• Eager to learn new skills and share your knowledge with others.
• Solid grasp of code hardening procedures and objectives.
• Experience working alongside validation teams and grasping the impact of code patches.
• Ability to identify fresh improvement opportunities and construct proof of concepts.

Why PlayStation?

We develop a diverse and welcoming environment where your ideas can prosper. You'll join a team that prioritises collaboration and aims for outstanding results. We contend in a swiftly changing industry, and your contributions will assist us in maintaining leadership in gaming technology. This role offers a high-impact opportunity where you can truly influence outcomes!

As an equal opportunities employer, we strive to create an inclusive environment, empower employees and embrace diversity.

We encourage everyone to respond as we consider all candidates on the basis of their merit, unique strengths, and perspectives they will bring to the role.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

We are seeking a Senior Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning our observability infrastructure, as an Engineer on the team, you’ll also work closely with other SWE and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 12 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Has a good understanding of information security management

Responsibilities

• Define standards and vision for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own all code the Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability
• Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
• Investigate the performance impact of code changes that may cause software performance regressions
• Interview candidates for advanced software engineering positions
• Develop and maintain expertise on cutting edge database, and observability developments from industry and academia
• Lead development and project management of some of the largest projects across the company
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
• In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Observability Team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID 1273361934

The Team

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

The ideal candidate should: 

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities: 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 2263171786

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 10 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems. 
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Has a good understanding of information security management

Responsibilities

• Help build and architect systems for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own areas of code that the Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability
• Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
• Investigate the performance impact of code changes that may cause software performance regressions
• Interview candidates for advanced software engineering positions
• Develop and maintain expertise on cutting edge database, and observability developments from industry and academia
• Lead development and project management of some of the larger projects across the company
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
• Collaborate with Product Management and Engineering leadership to define product roadmaps
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
• In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Observability Team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID 1273361945

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at global scale. We are responsible for MongoDB Atlas: our database as a service offering and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

The Atlas Growth experimentation teams focus on improving the customer experience via new product features and refinements to existing user flows. These teams work closely with cross-functional partners in Product, Design and Analytics, as well as many other MongoDB engineering teams, to bring new visions to life. We are constantly challenged to design backend and frontend features such as new onboarding flows, partner integrations, monetization improvements, and enterprise enablement for our large B2B customer base. 

The Atlas Frontend Platform team works to enable Atlas Engineering teams to work across the Atlas UI, owning foundational infrastructure and iterating to move our frontend interface to the cutting edge of user experience.

We are seeking a Staff Software Engineer to join the Atlas Growth and Frontend Platform teams. Growth is made up of both platform and product teams. A successful Staff Software Engineer on Atlas Growth will come to understand the behaviors that make users successful in Atlas.  They will be a strong partner for our Product team in identifying and prioritizing the right UX improvements, as well as have a strong infrastructural bent, leading the evolution of our backend service-oriented architecture.  They will be an owner of our partner platform, driving Atlas's integration into the many SaaS players defining our industry, and they will become an expert in the experimentation and analytics platform services Growth owns, shaping their roadmaps to accelerate how quickly Atlas learns and delivers.

Role Responsibilities

• Define the future evolution and vision of Growth by working closely with Product Management, Product Design, Analytics, UX Research, as well as other Engineering teams within the company
• Spearhead the development of secure, scalable, reusable infrastructure for cross-control plane integrations into Atlas
• Streamline experimentation and data acquisition via platform optimization
• Design, architect, build, and deliver core pieces of the Atlas onboarding flow
• Mentor and grow other team members
• Improve our codebase, best practices, and design principles
• Work with stakeholders to identify business impact of focus areas, translating into the team's roadmap, then partnering with Engineering Leads to execute  
• Be a leader in overseeing and participating in the on-call rotation for our critical platform infrastructure

Candidate Profile

• 8+ years experience of software engineering, with experience in the frontend ecosystem and backend infrastructure
• Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.)
• Working knowledge of TypeScript and at least one single page application (SPA) framework.
• Proven successes in designing, writing, testing, debugging, performance tuning, and maintaining secure and highly available distributed systems in large, long-lived code bases
• Understands the hallmarks and value of AB testing and iterative product development
• Experience partnering with Product to design and deliver effective user experiences for a technical SaaS application
• Excellent communication skills, both written and verbal
• Desire to collaborate with colleagues and mentor fellow engineers
• Is curious, collaborative, empathetic, and intellectually honest
• Has a passion for problem solving and learning new things in the domains of computer science and software engineering
• Experience with AWS, GCP, and Azure is a plus

Success Measures

• In 1 month you’ll have shipped code into production
• In 3 months, you'll be fully onboarded and have contributed to a large project that involves multiple MongoDB engineering teams
• In 6 months, you’ll understand the vision and primary goals of the Atlas Growth and Frontend Platforms teams, will be heavily contributing to the roadmap for the teams, and will be leading projects to execute on it

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 4263302109

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Staff Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a key technical leader on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us!

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

• 10+ years of experience building production-quality systems software with a large user base, robust design structure, and rigorous code quality
• Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust 
• Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains
• Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for:
• Understanding of network protocols, TLS, and connection lifecycle management.
• Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures.
• Excellent verbal and written technical communication skills for communicating to a wide variety of audiences ranging from junior engineers to executive stakeholder
• Strong mentorship skills, and excitement about leveling up your peers and teammates through coaching, feedback, and enablement
• Strong time management skills and the ability to realistically assess project complexity
• B.Sc. in Computer Science or a related field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture. Interest in the theory and practice of high-availability, security-critical systems
• Passion for learning new things in the domains of computer science and software engineering

Position Expectations

• Define and drive the technical strategy for Ingress Security, in collaboration with stakeholders across Server, Atlas, SRE, and Product Security
• Own the definition, planning, and execution of technical plans to deliver solutions to ambiguous, high-impact security and networking problems
• Design, implement, and operate production-ready security services in Rust, with a focus on security, correctness, performance, and operational excellence
• Collaborate with Engineering leadership and other Product & Technology teams on roadmaps to improve the security posture of MongoDB's ingress stack
• Advise across the team and organization on engineering complexity, risk, and inter-project dependencies
• Handle time-sensitive escalations and production incidents that require expert support from Ingress Security
• Diagnose test failures, identify bugs, performance regressions, and other defects in existing code, and fix them
• Interview candidates for software engineering positions, and work with Engineering leadership to cultivate the team's talent bench for long-term growth and success
• Develop and maintain expertise on relevant cutting-edge research in systems security, network security, and memory-safe systems programming from industry and academia

Success Measures

• In the first month: Understand the high-level architecture of the Atlas Network Protection layer, set up your development environment, and resolve a few bugs
• In three months: Contribute substantially to the Rust development of a current project or milestone, take on code review responsibilities, and participate in reviewing designs for new features
• In six months: Independently lead the development of major a new feature and help mentor new engineers on the team
• In twelve months: Drive the Planning, Design, and Execution of major improvements to our security, availability, performance, or operational capabilities

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. 

REQ ID: 1273383343

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our Dublin office, or work fully remotely in Ireland.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426183

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What is our Mission

Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our missions to expand globally,  we are building the core systems to launch Toast into new markets. You will join a high-impact, high-ownership engineering team solving complex technical challenges in a fast-paced environment. We are looking for leadership that balances technical excellence with a strong product mindset to drive continuous growth for both the team and our platform. 

A day in the life (Responsibilities)

• Lead complex projects within a cross-functional collaborative and supportive environment.
• Orchestrate our backend services to support internationalization working across software both in the restaurant and the cloud
• Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success.
• Iterate on our technical approach to data management in support our international strategy 
• Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices.
• Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation
• Advocate for best coding practices, raising the bar for yourself, your team, and the company.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s)
• Proven track record of architecting, supporting and debugging large distributed & multi threaded applications.
• Drive to work across our tech stack and support other engineers in resolving challenging problems
• Passionate about making users happy and seeing people use your product in the wild.
• Ability to embrace an agile mindset focused on delivering usable software.
• Experience with  fiscalisation, internationalization is a plus

Our Tech Stack

• A core of Java & Kotlin based backend services.
• React SPAs leveraging Tailwind, GraphQL and Storybook.
• Android app built in Java & Kotlin running in the restaurant.
• PostgresQL and Dynamodb as core persistence.
• Pulsar, Camel and RabbitMQ for message-based integrations.
• And many more technologies that help us build a top class platform.

**This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.**

#LI-HYBRID

#BI-Hybrid

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

This hybrid role is based in Dublin, Ireland (Full relocation provided).

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What is our Mission

Toast has established itself as the leading hospitality platform in the US, and we are now setting our sights on the global stage. As part of the International team, in our missions to expand globally,  we are building the core systems to launch Toast into new markets. You will join a high-impact, high-ownership engineering team solving complex technical challenges in a fast-paced environment. We are looking for leadership that balances technical excellence with a strong product mindset to drive continuous growth for both the team and our platform. 

A day in the life (Responsibilities)

• Lead complex projects within a cross-functional collaborative and supportive environment.
• Orchestrate our backend services to support internationalization working across software both in the restaurant and the cloud
• Design, build, deploy and maintain highly resilient and scalable systems critical to our customers’ success.
• Iterate on our technical approach to data management in support our international strategy 
• Mentor and provide technical guidance to team members, leading technical discussions and promoting best engineering practices.
• Work directly with pilot customers (sometimes in the restaurant!) to ensure successful delivery and operation
• Advocate for best coding practices, raising the bar for yourself, your team, and the company.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 8+ years of experience in delivering high quality, reliable services to production using Java, Kotlin or other object oriented language(s)
• Proven track record of architecting, supporting and debugging large distributed & multi threaded applications.
• Drive to work across our tech stack and support other engineers in resolving challenging problems
• Passionate about making users happy and seeing people use your product in the wild.
• Ability to embrace an agile mindset focused on delivering usable software.
• Experience with  fiscalisation, internationalization is a plus

Our Tech Stack

• A core of Java & Kotlin based backend services.
• React SPAs leveraging Tailwind, GraphQL and Storybook.
• Android app built in Java & Kotlin running in the restaurant.
• PostgresQL and Dynamodb as core persistence.
• Pulsar, Camel and RabbitMQ for message-based integrations.
• And many more technologies that help us build a top class platform.

**This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.**

#LI-HYBRID

#BI-Hybrid

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Your mission is to drive architecture, technical strategy, and implementation of AI agents for Toast's Team area which is part of the Fintech line of business. You will be one of the most senior technologists in line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. Beyond being on the forefront of agent development, your scope will also include enablement and leadership for how software is developed at Toast through adoption of bleeding edge spec driven development and other paradigms. 

A day in the life (Responsibilities)

• Develop and drive an architectural vision to support the ambitious goals for agents and agent development
• Be an active participant and an authoritative technical voice in FinTech product strategy discussions
• Partner with the Team Management Director of Engineering and Sr. Director of Product to successfully deliver Team agent products from design to production
• Work closely with other Senior Principal Engineers to further the agent patterns and ecosystem across Toast as a whole
• Evolve an ever more efficient way of working through agents and spread it across Toast
• Work directly with the product manager for the Team Agent space, collaborating to drive vision
• Be hands on and actively participate in development on the Team Agent
• Mentor and develop technical leadership across Team, and Fintech

What you'll need to thrive (Requirements)

• 15+ years experience designing and building highly scalable, mission-critical distributed and fullstack software systems
• 10+ years experience building and operating SaaS products, ideally AWS hosted
• 1+ years experience using the latest in coding agents 
• A strong desire to lean all in on agentic development practices
• Passion for building autonomous agents
• Demonstrated ability to drive technical architecture for a company or highly scalable line of products
• A desire to work not only with technologists but also product owners and business leaders
• Ability and desire to draw big lines and boxes on a whiteboard paired with the ability to dig in and understand the ebb and flow of what the code is doing under load
• Ability and desire to communicate and influence at the executive level

What will help you stand out (Nonessential Skills/Nice to Haves)

• Experience designing agentic products
• Experience building systems that leverage LLMs and other ML models
• Experience with enterprise integration using Apache Camel
• Experience architecting event-driven distributed systems using Apache Pulsar
• Experience defining test, build and deploy strategies
• Solid understanding of workforce management
• Solid understanding of restaurant operations

#LI-HYBRID

#BI-Hybrid

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits within the Service Agent pillar: 12 teams and growing, building every capability that makes Fin work. You'll own 1-2 of the most strategically significant work streams in the pillar. These aren't static teams with stable roadmaps. We re-evaluate priorities at the pillar level constantly, spinning up and down work streams and dynamic teams to solve whatever matters most right now. The teams you lead six months in may look nothing like the ones you start with. You need to be okay with that.

The competitive landscape is intense. Fast-moving AI-native startups are shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure and can maintain high standards while moving at startup speed.

What will you do?

You'll own strategically significant work streams end-to-end. You're accountable for outcomes, not just delivery cadence or team health, but whether the work actually moved the needle.

This is not a role for facilitators. You will be on the front line: deeply understanding the product, the problem, and the context. Sometimes that means writing code yourself. Sometimes it means doing the analysis, or driving cross-functional collaboration, or force-multiplying someone on your team who's stuck. There is a straight line between your work and the impact being delivered. You lead from the front.

We regularly spin up new work streams around emerging priorities. You'll bring together engineers who've never worked as a team, set high expectations, build momentum under aggressive timelines, and drive execution. Then the shape of your teams may change again. That's the job.

You'll develop senior engineers into leaders. We don't need someone who mentors juniors on the basics. We need someone who accelerates staff and senior engineers, who gives direct, actionable feedback that changes outcomes, and who grows the leadership capacity of the people around them.

You'll partner with the Engineering Director on pillar-level strategy. Where should we invest more? Where are we falling behind? What should we defund? You bring these opinions, backed by what you're seeing on the ground.

And you'll do all of this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development, both personally and through how you set up your teams.

What are we looking for?

The most important thing: you need to be an exceptional people leader AND personally action-oriented. Not one or the other. We don't want managers who are great with people but distant from the product. And we don't want hands-on operators who neglect the leadership craft. You build high-performing teams AND get personally stuck in to drive outcomes when it matters.

Beyond that:

Product-minded, not process-minded. You understand what you're building and why. You have opinions about the product, not just how the team operates. You can challenge a product direction, spot a gap in the strategy, and make calls about what work matters most.

Operated at real scale with startup energy. You've likely spent time at companies operating at significant scale. You've seen what large distributed systems look like in production and what it takes to ship reliably in that environment. But you also have urgency, resourcefulness, and a bias toward action over discussion.

AI fluency. You're actively experimenting with AI-assisted development, forming opinions about how it changes the way teams build software, and pushing your teams to adopt new ways of working. This is table stakes for this role.

Technically credible. You don't need to be the deepest engineer in the room, but you can hold your own. You can review an architecture proposal and ask the right questions. You can spot when a team is over-engineering or under-investing. Engineers respect your technical judgment.

Communication. You can explain to leadership why a team needs more investment, align multiple stakeholders around a complex project, have a difficult performance conversation, and unblock an engineer on a gnarly problem, all in the same day.

Extreme autonomy. You partner with the Engineering Director on where the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of manager who waits for direction, this isn't the right role.

Critical thinking about the business. You understand what Intercom is optimising for and translate that into team-level decisions. Which work streams need investment? Where are we falling behind? What should we stop doing to go harder somewhere else?

Why Intercom, why now?

Fin is #1, and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. The engineering decisions made in the next 12 months will determine who wins.

Intercom has been building for 15 years: deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster.

Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up.
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%.
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
• Flexible paid time off policy.
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits within the Service Agent pillar: 12 teams and growing, building every capability that makes Fin work. You'll own 1-2 of the most strategically significant work streams in the pillar. These aren't static teams with stable roadmaps. We re-evaluate priorities at the pillar level constantly, spinning up and down work streams and dynamic teams to solve whatever matters most right now. The teams you lead six months in may look nothing like the ones you start with. You need to be okay with that.

The competitive landscape is intense. Fast-moving AI-native startups are shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure and can maintain high standards while moving at startup speed.

What will you do?

You'll own strategically significant work streams end-to-end. You're accountable for outcomes, not just delivery cadence or team health, but whether the work actually moved the needle.

This is not a role for facilitators. You will be on the front line: deeply understanding the product, the problem, and the context. Sometimes that means writing code yourself. Sometimes it means doing the analysis, or driving cross-functional collaboration, or force-multiplying someone on your team who's stuck. There is a straight line between your work and the impact being delivered. You lead from the front.

We regularly spin up new work streams around emerging priorities. You'll bring together engineers who've never worked as a team, set high expectations, build momentum under aggressive timelines, and drive execution. Then the shape of your teams may change again. That's the job.

You'll develop senior engineers into leaders. We don't need someone who mentors juniors on the basics. We need someone who accelerates staff and senior engineers, who gives direct, actionable feedback that changes outcomes, and who grows the leadership capacity of the people around them.

You'll partner with the Engineering Director on pillar-level strategy. Where should we invest more? Where are we falling behind? What should we defund? You bring these opinions, backed by what you're seeing on the ground.

And you'll do all of this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development, both personally and through how you set up your teams.

What are we looking for?

The most important thing: you need to be an exceptional people leader AND personally action-oriented. Not one or the other. We don't want managers who are great with people but distant from the product. And we don't want hands-on operators who neglect the leadership craft. You build high-performing teams AND get personally stuck in to drive outcomes when it matters.

Beyond that:

Product-minded, not process-minded. You understand what you're building and why. You have opinions about the product, not just how the team operates. You can challenge a product direction, spot a gap in the strategy, and make calls about what work matters most.

Operated at real scale with startup energy. You've likely spent time at companies operating at significant scale. You've seen what large distributed systems look like in production and what it takes to ship reliably in that environment. But you also have urgency, resourcefulness, and a bias toward action over discussion.

AI fluency. You're actively experimenting with AI-assisted development, forming opinions about how it changes the way teams build software, and pushing your teams to adopt new ways of working. This is table stakes for this role.

Technically credible. You don't need to be the deepest engineer in the room, but you can hold your own. You can review an architecture proposal and ask the right questions. You can spot when a team is over-engineering or under-investing. Engineers respect your technical judgment.

Communication. You can explain to leadership why a team needs more investment, align multiple stakeholders around a complex project, have a difficult performance conversation, and unblock an engineer on a gnarly problem, all in the same day.

Extreme autonomy. You partner with the Engineering Director on where the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of manager who waits for direction, this isn't the right role.

Critical thinking about the business. You understand what Intercom is optimising for and translate that into team-level decisions. Which work streams need investment? Where are we falling behind? What should we stop doing to go harder somewhere else?

Why Intercom, why now?

Fin is #1, and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. The engineering decisions made in the next 12 months will determine who wins.

Intercom has been building for 15 years: deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster.

Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up.
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%.
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
• Flexible paid time off policy.
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

About the Role

The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.

Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.

Responsibilities

End-User Support

• Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
• Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
• Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
• Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
• Handle escalations requiring cross-team coordination
• Participate in an on-call rotation for urgent issues outside business hours
• Provide hands-on support for user technology, AV systems, conference rooms, and printers

Communication & Documentation

• Communicate clearly with users of all technical levels
• Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
• Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves

Operational Improvement

• Help streamline onboarding and other high-volume operations as the company scales
• Contribute to automation efforts
• Maintain and improve device management, identity, and access systems
• Assist with scripting (Bash, Python) to automate repetitive tasks

You may be a good fit if you

• Have 5-7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
• Are an excellent communicator who genuinely enjoys helping people solve problems
• Have strong troubleshooting skills and are methodical, curious, and persistent
• Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
• Have significant experience with Google Workspace administration
• Have experience with Slack administration — workspace management, permissions, and troubleshooting
• Have substantial experience supporting and administering additional SaaS tools
• Understand identity and access fundamentals — SSO, MFA, directory services
• Are familiar with MDM fundamentals and endpoint management concepts
• Have experience with basic scripting (Bash or Python) for automation
• Take ownership of problems and follow through until they're resolved
• Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
• Are organized enough to manage competing priorities without things falling through the cracks
• Propose solutions when you see a process that doesn't scale
• Are looking to develop deeper technical skills and take on more complex systems administration challenges over time

Strong candidates may also

• Be familiar with zero-trust security concepts and endpoint security tooling
• Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
• Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
• Have experience using AI tools to improve personal or team productivity

Location

This role is based in our Dublin office. There is a 5 day per week in office expectation.

What Makes This Role Unique

You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

This role can be Office/Hybrid/Remote based within the UK

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

This role can be Office/Hybrid/Remote based within Ireland

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

This role can be Office/Hybrid/Remote based within Ireland

We’re looking to add a Staff Software Engineer to join the Engage Product Group in Flywheel Product Line. 

Engage Product Group mission is to reinvent HubSpot GTM Sales teams by supercharging our sales reps with world-class AI to help them hit and exceed plans. We build, evolve and maintain sophisticated AI products that meaningfully increase closed won rates by qualifying inbound leads with AI, providing intelligent insights and coaching, and generate highly-customized demo instances for every HubSpot prospect using multi-agent systems.

For this specific role, we are building a reusable, reliable, and intelligent context layer for GTM AI and agents. Our goal is to centralize insight storage, search, and retrieval; enabling faster experimentation; improving insight quality through evaluation and versioning; and powering flagship agents and guided experiences with consistent, high-quality context. 

Staff Software Engineers are highly productive, impactful, and trusted engineers who leverage their skills and knowledge to work autonomously on the most complex projects and set technical direction. These problems can be broad, deep, and often span across multiple teams and product areas. Context will be your primary focus for the next few months, but we expect that you will deploy to other teams in the group over time as well.

As a Staff Software Engineer on Engage Context team you will:

• Write and ship production code that has meaningful business and GTM impact
• Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
• Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
• Collaborate with HubSpotters and GTM folks all over the company
• Get deep exposure to how HubSpot GTM works

We’re looking for engineers who have a track record of strong business and product mindset, who enjoy working with real GTM challenges and can navigate ambiguity with high levels of autonomy and passion.

We work with Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we’d like to see:

• Experience in building AI products, especially but not only in GTM context, with a track record of tackling evaluations and innovation on top of frontier models advances.
• Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
• Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
• A passion for clean, scalable code and engineering excellence.
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
• Coaching and mentorship experience.

The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. As a Systems Software Engineer with a focus on Security, your main focus will be tool development in Python and Go to engineer creative solutions to security challenges. You’ll improve and integrate our existing tools and libraries across the platform, as well as design and build new ones to make trading, research, installation, and monitoring systems easier to manage, more secure, and more reliable. Strong Python skills and development experience are required, along with Unix experience and interest in the security space.

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities will vary, but a typical day in the life might look like:

• Building and maintaining tools and software features to automate systems engineering workflows related to secure machine provisioning, monitoring, metrics collection, maintenance, secrets management, and network configuration
• Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues
• Writing configuration management code to build, deploy, and maintain new services
• Helping to set the general direction for the Systems Python platform
• Working across HRT’s engineering teams to help create solutions to a variety of security challenges

Qualifications

Required:

• Strong Python programming
• Ability to debug and analyze problems quickly
• Ability to learn at a fast pace and apply new skills effectively
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Interest in and awareness of security best practices

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

Profile

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python
• Experience using automation to solve problems and improve process efficiency
• Acts effectively as a team player, but also works well independently 
• Skilled at juggling multiple tasks while maintaining meticulous attention to detail
• Familiarity with open-source software

Hudson River Trading (HRT) is looking for a Junior Crypto Electronic Trading Support Engineer to join our Trade Operations (TradeOps) team in our London office. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s crypto trading as well as handling related risk, regulatory, and development tasks. The TradeOps team focuses on automating common tasks and preparing for the unexpected: your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT supporting crypto means working on a tight-knit, highly productive team. We're looking for someone who loves technology, is passionate about crypto, and wants to work on a broad range of projects using whatever tools best solve the problem at hand. Excellent cross-functional communication skills are a must, along with a can-do attitude.

In a high-performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for onboarding new crypto markets, managing new initiatives, and ensuring a smooth trading day. You will be the first line of defense when issues arise, and the subject matter expert on recent changes to the production trading platform. The TradeOps team’s scope covers everything from systems infrastructure to compliance, risk management, overnight clearing, and performance improvement. 

Please note: this role requires working during 3PM - 11PM GMT / 4PM - 12AM BST hours, with weekends/holidays alternating among the team.

Responsibilities

• Support live crypto trading and other asset classes as needed
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading

Qualifications

• 1-3 years of experience in a similar role or internship
• Bachelor’s degree in a technical discipline
• Working knowledge of UNIX systems, Bash, and Python
• Excellent communication skills and the ability to interface with developers and traders
• Strong organizational skills and meticulous attention to detail
• Excited to work independently in a fast-paced, high pressure environment
• Strong interest in crypto – you follow the digital assets space in your spare time
• Understanding of various financial products, including equities, crypto products, and derivatives is a plus
• Overall interest in market structure and the trading industry
• Series 7 or 57 certification or a willingness to obtain certification
• Ability to work during 3PM - 11PM GMT / 4PM - 12AM BST hours, with weekends/holidays alternating among the team

Hudson River Trading (HRT) is looking for a Junior Electronic Trading Support Engineer to join our global Trade Operations (TradeOps) team in NYC. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s trading as well as handling risk, regulatory, and development tasks. The TradeOps team focuses on both automating common tasks and preparing for the unexpected. Your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT means working on a tight-knit, highly productive team. We're looking for someone who loves technology and wants to work on a broad range of projects using whatever tool(s) best solve the problem at hand. Excellent communication is a must, along with a can-do attitude.

Role

In a high performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for managing new initiatives and ensuring a smooth trading day. You’ll act as the first line of defense when the inevitable happens, and the subject matter expert on recent changes to the production trading platform. The team’s scope covers everything from systems infrastructure, to compliance, risk management, overnight clearing, and performance improvement. 

Responsibilities 

• Support live trading during US market hours
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading 

Qualifications

• Bachelor’s degree in a quantitative discipline (CS, Engineering, Physics, Math, etc.)
• Working knowledge of UNIX systems
• Experience with a scripting language (Python, Perl, Bash)
• Excellent communication skills and enjoy interfacing with clients, both internal and external
• Incredibly organized, with a high attention to detail
• Excited to work independently in a very fast-paced, high pressure environment
• Poses an understanding of Market Data/Order Entry systems and/or an interest in how modern electronic markets work
• Industry experience and/or Series 7 or 57 certification is preferred if applicable, but not required - recent graduates with relevant knowledge can be considered

The estimated base salary range for this position is 100,000 to 150,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for an Electronic Trading Support Engineer to join our global Trade Operations (TradeOps) team in NYC. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s trading as well as handling risk, regulatory, and development tasks. The TradeOps team focuses on both automating common tasks and preparing for the unexpected. Your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy. 

Being a member of TradeOps at HRT means working on a tight-knit, highly productive team. We're looking for someone who loves technology and wants to work on a broad range of projects using whatever tool(s) best solve the problem at hand. Excellent communication is a must, along with a can-do attitude.

Role

In a high performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where HRT’s Electronic Trading Support Engineers come in. You’ll be responsible for managing new initiatives and ensuring a smooth trading day. You’ll act as the first line of defense when the inevitable happens, and the subject matter expert on recent changes to the production trading platform. The team’s scope covers everything from systems infrastructure, to compliance, risk management, overnight clearing, and performance improvement. 

Responsibilities 

• Support live trading during US market hours
• Handle order flow from HRT’s trading desks
• Respond to external market alerts and outages
• Interface with exchanges & other external parties to support trading 

Qualifications

• Bachelor’s degree in a quantitative discipline (CS, Engineering, Physics, Math, etc.)
• Working knowledge of UNIX systems
• Experience with a scripting language (Python, Perl, Bash)
• Excellent communication skills and enjoy interfacing with clients, both internal and external
• Incredibly organized, with a high attention to detail
• Excited to work independently in a very fast-paced, high pressure environment
• Poses an understanding of Market Data/Order Entry systems and an interest in how modern electronic markets work
• Industry experience and/or Series 7 or 57 certification is preferred

The estimated base salary range for this position is 100,000 to 150,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

At Hudson River Trading (HRT), C++ is at the center of our live trading systems and research infrastructure. Our C++ engineers build the highly performant, fault-tolerant systems that power trading across global markets. HRT’s distributed system is on the Pareto frontier of latency and throughput, giving you limitless opportunity to leverage your deep knowledge of C++, OS internals, CPU architecture, and networking hardware and protocols. You’ll work side-by-side with researchers, traders, and hardware specialists, implementing solutions where every microsecond matters.

Our bottom-up approach to projects and our highly collaborative environment empower talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve complex problems in a fast-paced, highly competitive industry, surrounded by some of the brightest minds in the field.

C++ Engineers at HRT work on a wide variety of projects. Examples include: 

• Develop and optimize infrastructure for market data, order entry and execution logic, spanning tens of asset classes including options, equities, futures, crypto, and fixed income. 
• Design fault-tolerant, low-latency systems for live trading, including encoding/prioritization of data over WAN links and recovery from hardware failures.
• Profile and improve performance-critical code for both throughput and latency in production environments.
• Build and maintain infrastructure that drives products including client-facing wholesale and SDP platforms, distributed network filesystems, and scalable research workflows.
• Write software that interfaces with specialized hardware such as FPGAs and ASICs used in trading systems.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• You are capable of solving complex engineering problems independently and providing technical advice for others in areas of your expertise. 
• You can make progress on long-term architectural projects while troubleshooting smaller tasks and bug fixes with agility.
• You can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), or anywhere in between. 
• You are always looking for ways to make systems better.

Qualifications

• 1+ years of professional work experience 
• Bachelor's degree in Computer Science, Computer Engineering, or related field
• Superior design, debugging, and problem solving skills
• Advanced C++ experience is required, daily use preferred
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it’s where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. You’ll work everyday with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

• Ensure HRT’s research environment is best in class, with a focus on user workloads
• Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
• Optimize workloads at the user level to speed up user iteration speed
• Tune workloads at the infrastructure level to make them more resource-efficient
• Share metrics and real-time information with users to give insight into workload behavior
• Sit down with users to understand their specific technical needs
• Contribute individually and through leadership and coordination of the above
• Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Strong C++ expertise (daily use preferred)
• Python familiarity preferred
• Experience collaborating closely with quantitative researchers and traders to understand their needs
• Great communication capabilities
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is a leading quantitative trading and investment firm specializing in multi-asset class strategies. At the core of our success lies the power of our compute cluster, the foundation where all our trading strategies are conceived and refined.

We’re looking for innovative minds to enhance the data storage libraries and tools leveraged by our Research teams to generate cutting-edge strategies. As a Storage Developer, you’ll dive deep into C++ and advanced storage solutions, working at massive scale to enable groundbreaking research. Surrounded by a team of exceptional developers constantly pushing the boundaries of their expertise, you’ll be amazed at the impact you can achieve.

Profile

• You’re able to talk both high-level distributed systems design trade-offs and low-level OS-level details
• You’re able to balance being detail-oriented with good prioritization of what matters now vs. later
• You thrive in collaborative environments and have a strong sense of ownership
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer related

Responsibilities

• Work with a small team of skilled developers to create distributed storage systems customized to fit HRT’s needs
• Stay informed about the current “state of the art” and help bridge the gap between here and there
• Understand our Research team’s storage and compute needs, and build for the next generation of research

Qualifications 

• Proficient C++ experience is required, daily use preferred 
• Distributed systems experience required (ability to reason about fault tolerance, sharding, trade-offs, and designing for simplicity and robustness under failure) 
• Previous experience developing databases, distributed filesystems, search infrastructure, or similar ideal but not required 
• Ability to work productively in a Linux environment
• Knowledge of UNIX operating systems, low-level systems-level performance issues, and networking

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You’ll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale.

Responsibilities

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:

• Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
• Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
• Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently 
• Analyzing GPU job statistics to identify trends and areas for improvement

Qualifications

Required:

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python and managing GPUs
• Experience using automation to solve problems and improve process efficiency
• Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Familiarity with open-source software
• Ability to debug and analyze problems quickly
• Skilled at balancing multiple tasks while maintaining meticulous attention to detail
• Ability to operate effectively as a team player and also work independently 
• Ability to learn at a fast pace and apply new skills effectively

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

You came to Tenable for a career, not just a job. We want you to succeed in the role you have today, but also know there are opportunities for you to grow and develop professionally.

Your Role:

Tenable is looking for a Senior Software Engineer to join our Data Integrations team. Our team is focused on designing, developing, and maintaining state-of-the art solutions for data ingestion, data modelling and data serving within the Tenable One platform. As a Senior Software Engineer on the Data Integration team, you will have the opportunity to be part of implementing and maintaining a globally distributed and highly scalable cloud-native data platform using modern technologies and programming languages.

Your Opportunity:

• Work cross-functionally with other developers, product owners and various Tenable teams to design, develop and maintain cloud services for Data Platform services.
• Promote clear and simple software design while actively driving the team toward better practices and solutions.
• Support a true DevOps / CICD software delivery model.
• Promote high quality aimed at areas such as security, reliability, testability and
• maintainability.
• Drive innovation by contributing new ideas for our processes, tools, and technologies.
• Coach and mentor mid-level and junior staff.

What You'll Need:

• B.S. degree in Computer Science or a directly related field, or equivalent work experience.
• 5+ years of software development experience in enterprise-level, backend systems.
• Experience developing in languages such as: Java or Kotlin.
• Experience working and supporting cloud-native workloads specifically with Kubernetes, docker and container registries.
• Experience with infrastructure as code e.g. Terraform, CloudFormation.
• Strong experience with AWS services, including S3, DynamoDB, EC2, and Aurora,
• preferably via IAC, SDK and/or API.
• Experience with CI/CD pipelines and tools like Jenkins.
• Proficiency with Git for source code version control.
• Experience designing features end to end, including rollout and monitoring.
• Accountability for the behavior of your software in production.
• Experience in working in an Agile team, and an enthusiasm for working collaboratively within and across product teams.
• The ability to work independently and as a part of a team, and to lead/drive projects as necessary.
• Experience coaching and leading mid-level and junior staff in the design, implementation, and execution of highly technical development projects.
• The desire to continuously learn and be exposed to new technologies.

• Experience with data transfer and streaming technologies such as Kafka, Flink, NiFi, Kinesis, etc.
• Experience with cloud data platforms such as Snowflake, Databricks, Clickhouse, etc.
• Experience with data file formats like Parquet and Avro. Experience with Iceberg would be a plus.
• Understanding of SQL scripting and procedures with relational databases.
• History of open-source contributions.

#LI-AV1

#LI-Hybrid

About the role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Building a Brand Starts with a Story

FIRST is a leading global brand experience agency providing Content, Creative, Digital Technology, Management & Delivery, and Data & Insights services. For 30 years, we have utilized three flexible delivery models: Embedded teams, Corporate Campus operations, and a Full-Service Agency.

Managing over 37,000 events & projects annually across 110 countries, FIRST serves 130+ brands, specializing in Fortune 500 companies within the Financial Services, Technology, Healthcare, Media, and Professional Services sectors. FIRST is part of the broader Encore family of companies. Encore is a global leader in event production and technology.

Consistently recognized for excellence, recent honors include 2026 Chief Marketer Agency of the Year, the Ad Net Zero Award for sustainability, and more.

Learn more at www.firstagency.com

What You Would Get To Do

In this role, the AV Systems Engineer will maintain the Audio, Video, Lighting, and Control systems that drive the facility, as well as networks, media ingest systems, and post-production systems.

The role requires the ability to work effectively with a wide range of people across the AV and Events space. We’re looking for an AV engineer with hands-on production experience who can provide technical support and guidance to events and conferences at all business levels.

The role also requires flexibility to occasionally work outside of traditional office hours, depending on demand and production requirements.

Your Contributions

• Provide back-end support to the Event Technicians on productions on-site and remotely
• Set up and monitor facility routing between event spaces and the main Control Rooms
• Perform on-site and remote maintenance on specialist equipment for event production and broadcast
• Design, test, evaluate and install new circuitry/equipment for use in the facility
• Analyse and repair technical faults on equipment beyond the first line of troubleshooting
• Manage client expectations on tech-related issues
• Ensure that production equipment is running the latest versions of software/firmware to enable new features
• Identify a suitable workaround when equipment has failed to ensure continuity of the service
• Interpret and implement instructions and requests from event production meetings in order to deliver the maximum capability the facility can offer
• Help enhance the user experience by utilising available engineering resources
• Produce and update technical documentation
• Keep up-to-date with the industry and changes in technology by building and maintaining a network of contacts and investigating new systems and techniques
• Be able to travel between sites or assist remotely in order to perform break/fix and maintenance duties
• Train operational staff on existing or new equipment
• Own maintenance and engineering initiatives, including project management and 3rd party vendor liaison
• Provide custom workflow and routing configuration for productions, facilitate ground-up production setups in soundstages, and monitor productions and livestreams for optimal system performance
• Regularly flex into production operator roles when staffing emergencies arise, when periods or relief need to be provided to operators during extended production calls, or when leave coverage is required

What We Are Looking For

• 5-7 years of experience in a similar role
• Experience with Q-Sys and Dante
• Experience working with some or all of the following products: Yamaha, Dante, Evertz, Ross Carbonite and Ultrix, Barco E2/S3 or Analogue Way Aquilon, Panasonic PTZ cameras and controllers, Unilumin LED walls and Novastar or Megapixel processors, ETC ION theatrical lighting controllers. 
• Ability to apply digital and analogue theory and work from diagrammatic information
• Ability to work across all event production and broadcast studio operations
• Deep understanding of front-line maintenance and diagnostics on networked environments
• Excellent face-to-face communication as well as written skills
• Rigging experience a plus
• Ability to read, understand, and write technical documentation, AutoCAD (or equivalent) skills would be beneficial
• Understands video compression and file-based workflows
• Excellent analytical/troubleshooting practices and attention to detail
• In-depth understanding of TCP/IP networking
• Ability to take a service-oriented approach to this position, with a desire to help clients achieve their best results
• Ability to remain calm under pressure
• Excellent time management skills and the ability to prioritise critical elements in the workflow
• Ability to work well within a team

Administrative and General

• Assume responsibility for one's own environment, ensuring adherence to health and safety policies while having clean, smart surroundings
• Work intelligently and ensure that team management is aware of problems or issues which negatively affect productivity
• Build excellent relations with the team, clients, vendors, and key venues through positive communications
• Ensure knowledge is shared within the team to enable them to work smarter
• Work on ad hoc requests as required, typically during quiet times

#LI-TS1 #LI-Onsite

Why Join Us?

At Volkswagen Group Ireland, we combine engineering excellence with a strong focus on customer service and technical innovation. As a Product Support Engineer, you’ll play a vital role in ensuring our retailers have the tools, knowledge, and guidance they need to deliver exceptional aftersales experiences.

Though this is a contract position, you’ll be a key member of our collaborative team, contributing to real results in technical quality and customer satisfaction. This is a role where your diagnostic expertise and coaching mindset will have a direct impact across the Irish market.

Role Overview

We are currently seeking an experienced and motivated Product Support Engineer to join our Group Aftersales Technical Team. This contract-based role plays a key part in supporting the technical capability and service quality of our national retailer network. Working across all Group brands, the successful candidate will deliver hands-on technical support and diagnostic guidance to ensure service excellence and customer satisfaction.

This is a unique opportunity to join a high-performing team at the heart of the Volkswagen Group Ireland aftersales operation.

Key Responsibilities

• Provide high-quality technical support and root cause analysis for complex vehicle concerns across all Volkswagen Group brands, using approved diagnostic platforms (e.g., DISS, ODIS), remote access tools, and in-person dealer visits where required
• Mentor and develop retailer workshop staff in diagnostic skills, high-voltage (HV) battery handling, and group repair standards
• Represent VGIE at factory-led technical briefings, sharing key updates with the Irish network
• Deliver technical input and lead discussions during Service Dialogue meetings and quality reviews
• Collaborate with brand technical teams, training managers, and warranty colleagues to address trends and escalated issues
• Support technical investigations and assist with field inspections when required

Candidate Profile

Essential:

• National Craft Certificate in Motor Mechanics and qualifications in automotive engineering, diagnostics, or electrical systems
• Minimum 5 years of hands-on experience in a technical automotive role with advanced diagnostic exposure
• Strong ability to resolve technical problems independently and communicate solutions clearly
• Skilled at delivering coaching and guidance in workshop environments
• Proficient in Microsoft Office applications with sound digital literacy
• Full, clean EU driving licence
• A proactive and adaptable team player who can work independently across a field-based remit

Desirable:

• Master Technician/High Voltage Expert (EV) qualification
• Working knowledge of Volkswagen Group platforms such as ODIS, DISS &, Elsa
• Experience in technical coaching, auditing, or retailer support roles

Apply Now

Be part of a team driving technical excellence across some of the most respected brands in the world.

About the role

As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
• Track record of selling technical products in competitive markets
• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
• Passion for making powerful technology safe and societally beneficial

Scopely is looking for a Staff Client Engineer to join our unannounced project in either Spain, Ireland, Portugal or the UK in a hybrid/remote basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

We are in the early stages of development on an ambitious, unannounced Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! 

What You Will Do 

• Design and implement new features in our core technologies, working collaboratively with other stakeholder teams to understand requirements and identify the best technical solutions
• Propose and implement improvements to our development processes, workflows and tools to increase efficiency, quality and throughput
• Conduct pair programming, code reviews, 1-1’s and knowledge-sharing sessions to enhance skills and build a strong development culture
• Work closely with QA to resolve bugs and deliver high-quality code for testing, contributing directly to the code base
• Be the quality gate for all code that goes into our core technologies. Write clean, efficient and optimized code
• Work with stakeholders to figure out and implement the best alternative technical solutions

What We’re Looking For

• Experienced professional being part of a development team working on gameplay development with the Unity engine
• Familiarity with software development methodologies such as Agile and Scrum
• Excellent experience working with multiple stakeholders in the development process, being able to understand their goals and deliver/ evaluate various tech solutions to meet these, as well as knowledge of software engineering best practices and trends
• Strong technical skills and experience in at least one of the following areas: game engines, rendering engines, networking, physics, AI, and audio and excellent programming skills in C#
• Experience with version control, build tools and deployment pipelines
• Strong analytical, problem-solving skills, communication and collaboration skills to work effectively with cross-functional teams
• Adept at communicating with both technical and non-technical audiences.

Bonus Points

• Experience with automated testing and continuous integration
• Experience with cloud technologies and services for game development
• Familiarity with other game engines such as Unreal
• Experience with graphics programming, including shaders
• Knowledge of game design principles and user experience

GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena.

GTreasury has more than 40 years of experience supporting some of the world’s largest and most sophisticated companies. Integrating its treasury command center into Ripple’s technology stack gives corporates the ability to move, manage and optimise liquidity in real-time, across traditional and digital assets, under one expanded umbrella.

Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value.

We are seeking a Staff Software Engineer (.NET) who can operate at the intersection of deep technical expertise and broad organisational influence.
This role is for an engineer who shapes systems and teams — someone who identifies the most important problems, drives cross-functional solutions, and makes everyone around them more effective.

Responsibilities:

• Lead the architecture and delivery of complex, high-impact initiatives across systems and teams
• Define and drive technical standards, patterns, and best practices across engineering
• Own the long-term health of critical systems, including performance, reliability, and scalability
• Partner with senior leadership, product, and platform teams to align technical direction with business goals
• Mentor senior and mid-level engineers through design reviews, pairing, and direct feedback
• Produce high-quality technical documentation that enables faster, better decisions at scale
• Proactively identify and address systemic risks, technical debt, and architectural gaps

What we’re looking for:

• Deep, proven expertise with production .NET / C# systems at scale
• Track record of leading cross-team technical initiatives from ambiguity to delivery
• Strong architectural instincts and the ability to communicate tradeoffs clearly to both engineers and non-engineers
• Multiplier mindset — someone who makes the engineers around them more effective
• Exceptional judgment on when to move fast and when to slow down and get it right
• The ability to drive alignment across teams and functions without formal authority
• High bar for quality, ownership, and accountability — not just for your own work, but for the team's

Ready to be the catalyst for transformation within a global organization?

At Supermetrics, we're looking for an entrepreneurial and innovative BizOps Engineer to join our team. This isn't your typical technical or engineering role. You will be a force multiplier, tasked with fundamentally rethinking and rebuilding how our organization operates.

Reporting directly to the CIO you will have a unique mandate: to analyze our processes, design and implement groundbreaking AI-native solutions and human-in-the-loop automations that delight. If you are a creative problem-solver who loves to build, experiment, and drive change, this role offers a unique chance to make a massive impact.

In a nutshell, we’re looking for a lateral thinker at heart, the type of person who thrives on the creative problem-solving and 'out-of-the-box' strategy found in complex board games or tabletop roleplaying.

What You'll Do:

• Analyze and Identify: Dive deep into the processes and workflows of our teams to pinpoint inefficiencies and opportunities for radical improvement.
• Design and Architect: Act as the chief architect for new operational models. You will design innovative, tech-enabled solutions and streamlined processes that dramatically increase productivity and effectiveness.
• Build and Implement: Engage in hands-on development to bring your vision to life. This includes building internal tools, connecting systems via APIs, and deploying automation solutions using languages like Python or Go.
• Deploy and Monitor: Work with platform teams to deploy code, models, and more including working with Terraform, cloud providers, and logging/monitoring systems.
• Leverage AI: Be a go-to expert for applying AI and LLM technologies to solve real-world problems for our teams, moving beyond theory to practical implementation.
• Be an agent of change by collaborating with various internal partners to implement improvements. You will champion your solutions and lead enablement efforts, ensuring teammates and their managers are on board and proficient with new tools and processes.
• Partner and Collaborate: Work cross-functionally, especially with our Data team, Chief of Staff, and other CIO teams, to leverage the right resources and ensure your solutions are robust, scalable, and effective.

What We're Looking For:

• Proven impact and a bias to act: You have a demonstrated history of solving complex problems with clever, effective solutions. We're more interested in your portfolio of impactful projects than your years of experience.
• Entrepreneurial Mindset: You are a self-starter who thinks like an owner. You possess the wits and "lateral thinking" to see challenges from new angles and the drive to move ideas from concept to completion.
• Hands-On Builder: While this isn't a pure software engineering role, you have to have practical experience building and deploying solutions in Python, Go, or a similar language. You know how to help yourself and create simple yet powerful applications and integrations.
• AI and LLM Proficiency: You are fluent in the AI and LLM tech space with hands-on experience in applying these technologies to business processes. You love the idea of sparring with Claude Code to create out of the box solutions.
• Business Acumen: You have experience working with business systems and an understanding of their inner workings. Familiarity with tools in our stack (Hubspot, Salesforce, Zendesk, BigQuery) is a major plus.
• Effective Communicator and Influencer: You can clearly articulate complex ideas and inspire others. You are skilled at teaching new concepts and driving adoption across teams.

Nice-to-Haves:

• Experience in a fast-growing B2B SaaS company.
• Familiarity with Google Cloud Platform (GCP).
• A solid portfolio of personal or professional projects you can share and discuss.

Benefits we offer…

• A comprehensive benefits package that includes equity options
• Great work equipment, and home office allowance for those working in our fully remote locations
• Health care benefits and leisure time insurance
• Sports and well-being allowance

Does this sound like your next career adventure? Apply now! We’ll be filling the role as soon as the right candidate is identified.

Hear why our team likes it here at supermetrics.com/careers/life-at-supermetrics.

 #LI-Hybrid #LI-FullTime #LI-MiddleToSeniorLevel

Supermetrics is committed to providing a welcoming and inclusive workplace for all. We believe that a diverse workforce is a strong workforce, and we are dedicated to creating an environment where everyone feels valued and respected.

If you require any reasonable accommodations during the application or interview process, please do not hesitate to let us know. All requests for accommodation will be kept confidential.

We are seeking an innovative and forward-thinking Staff Software Developer passionate about building a world-class platform through a world-class team. Creating technical software excellence and spearheading application development in design, implementation, and maintenance to make great things happen.

About the Cash Forecasting team:

Cash Forecasting is our AI-amplified treasury solution that helps CFOs and treasury teams move beyond error-prone spreadsheets to achieve real-time cash visibility and predictive accuracy.

The platform integrates seamlessly with major ERPs and banking systems to automatically capture, categorize, and analyze transactional data across multiple currencies and business units. Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%.

You'll work on sophisticated machine learning models, automated variance analysis, real-time data orchestration from diverse financial sources, and intuitive dashboards that allow users to drill down from high-level summaries to individual transaction details. This is a critical platform managing over $100 billion in daily cash flow for enterprise customers across 40+ countries, with the technical challenge of delivering rapid 90-day implementations while maintaining enterprise-grade security and scalability.

What You’ll Do – Be a Force Multiplier:

Technical Leadership & Architecture:

• Drive architectural decisions for the platform, balancing scalability, maintainability, and rapid deployment goals
• Establish technical standards and design patterns that enable the team to ship features faster with fewer defects
• Lead technical design reviews and provide constructive feedback that elevates the team's architectural thinking
• Identify and eliminate technical debt strategically, creating roadmaps that improve both developer velocity and system reliability

Team Enablement & Mentorship:

• Mentor mid-level and senior engineers, helping them grow into technical leadership roles
• Break down complex, ambiguous problems into actionable work that distributes effectively across the team
• Establish coding standards, review practices, and testing strategies that improve overall code quality
• Champion engineering standard processes including observability, incident response, and production excellence
• Share your enthusiasm for tech trends, explore and learn new technologies, engage with tech communities, mentor fellow engineers, and lead in technical design and code evaluations

Multi-functional Impact:

• Partner with Product and Customer Success teams to translate business requirements into scalable technical solutions
• Collaborate across distributed teams (Ireland, U.S., Philippines, Australia) to drive alignment on technical approaches
• Influence product roadmap by identifying technical opportunities that create competitive advantages
• Bridge the gap between technical implementation and business value, helping the team prioritize high-impact work

Increase Agility:

• Identify and eliminate bottlenecks in the development lifecycle that slow down the entire team
• Improve CI/CD pipelines, testing infrastructure, and deployment processes to increase velocity
• Drive adoption of modern engineering practices that improve developer experience and productivity
• Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities

Strategic Technical Vision:

• Anticipate future scalability challenges before they become blockers (e.g., handling 10x growth in transaction volume)
• Evaluate emerging technologies and recommend when/how to adopt them (e.g., new ML frameworks, database technologies)
• Design systems that support the 90-day implementation promise while maintaining enterprise-grade quality
• Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later"

Ownership & Accountability:

• Own critical systems end-to-end, from design through production support
• Take responsibility for production reliability and proactively prevent incidents
• Step into ambiguous situations and drive them to resolution without needing explicit direction
• Lead by example in code quality, documentation, and operational excellence
• Make tough technical trade-off decisions and clearly communicate the reasoning

What You’ll Work On:

Integration & Data Connectivity:

• Build and maintain API integrations with major ERPs (SAP, Oracle, Workday) and banking systems to automatically pull transactional data

AI/ML Features:

• Develop and optimize machine learning models for the GSmart AI engine that predicts cash flows and automatically selects optimal forecasting algorithms
• Build automated variance analysis systems that compare actuals vs. forecasts and generate actionable insights
• Create pattern recognition algorithms to identify anomalies, seasonal trends, and customer payment behaviors

Platform Development:

• Design and implement flexible worksheet engines that allow users to customize cash flow models, categories, and reporting calendars

Performance & Scalability:

• Optimize data processing for handling billions of dollars in daily transactions
• Build caching and aggregation strategies for real-time dashboard performance
• Design distributed systems architecture to support a 90-day rapid implementation model

Reporting & Analytics:

• Create interactive dashboards and visualization components for cash position insights
• Build automated notification systems for covenant compliance monitoring and unusual variance alerts

Essential Knowledge / Experience:

Years & Scope:

• 8+ years of professional software engineering experience
• 3+ years working on complex, business-critical systems in production
• Experience working on products with significant scale
• Strong communication skills with experience working in multi-functional projects
• Track record of delivering projects that span multiple quarters and require coordination across teams

System Ownership:

• Owned and evolved significant portions of a production system end-to-end
• Been on-call for production systems and handled critical incidents
• Led technical designs that were implemented by teams of 3+ engineers
• Made architectural decisions that had lasting impact on system capabilities

Technical Leadership:

• Mentored 2+ engineers to help them level up technically
• Established technical patterns that were adopted across the team
• Led technical spikes to evaluate new technologies or approaches

Cloud & Infrastructure:

• Proficiency with at least one major cloud platform (AWS, Azure, GCP)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Understanding of infrastructure as code and CI/CD pipeline design
• Knowledge of observability: logging, metrics, tracing, and alerting strategies
• Experience with microservices deployment patterns and service mesh concepts

Enterprise Software Patterns:

• Deep understanding of distributed systems patterns, even driven architectures, and message queues
• Multi-tenancy architecture and data isolation strategies
• Role-based access control (RBAC) and authorization patterns
• Audit logging and compliance requirements for financial systems
• API versioning and backward compatibility strategies
• Feature flagging and progressive rollout techniques

Core Technologies:

• Deep expertise with Ruby on Rails
• Expert in RDBMS (ideally PostGres), including query optimization, indexing strategies, and data modeling
• Deep experience in building large scale multi-tenant applications
• Experience building and maintaining RESTful APIs and understanding when to use alternative patterns (GraphQL, gRPC, webhooks)
• Deep knowledge in building applications using React, TypeScript, JavaScript, and related technologies

Preferred Knowledge / Experience:

• Understanding of financial concepts: cash positioning, forecasting, liquidity management
• Knowledge of banking systems, payment rails, and financial data formats (MT940, BAI2, SWIFT)
• Understanding of multi-currency handling, exchange rates, and date/time complexities across time zones
• Awareness of financial compliance and regulatory requirements (SOC 2, data privacy)
• Experience integrating with third-party financial systems (banks, ERPs, payment processors)

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you will be challenged to take on meaningful projects to help craft the company's future. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.

We're looking for a Staff Software Engineer to join in building AI agents for Toast's Team area, which is part of the Fintech line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. You'll play a key roll* in the design, development, and delivery of autonomous agents that transform how restaurant owners manage their workforce, blending cutting-edge AI with practical restaurant operations.

A day in the life (Responsibilities)

• Be hands-on in developing and shipping Team Agent products that leverage LLMs and agentic frameworks
• Flex your full-stack development muscles with challenging end-to-end tasks in a supportive, collaborative team environment
• Partner with product managers, designers, and fellow engineers to build autonomous agents that transform restaurant workforce management
• Participate in designing, estimating, implementing, testing, and debugging end-to-end agent solutions
• Adopt and advocate for bleeding-edge spec-driven development and agentic development practices
• Mentor developers through code-pairing and detailed code, architecture, and project reviews
• Champion best practices for agent development, deployment, and quality life cycles
• Actively contribute to product design and feature selection discussions for the Team Agent space

What you'll need to thrive (Requirements)

• Strong foundation in Java, Kotlin or other object oriented language(s)
• Experience with modern web standards and technologies (e.g. React, TypeScript, REST, GraphQL)
• Experience or strong interest in using coding agents and adopting agentic development practices
• Passion for building autonomous agents and working with LLMs
• A proven track record of building partnerships across engineering, product, customer success, and other stakeholders
• Experience and interest in mentoring peers
• Experience maintaining a high bar for quality, and guiding teams to hold a high bar for the technical quality of their deliverables.
• Strong customer empathy and a drive to make their lives better through a thoughtful user experience, robust technical solutions, and continuous product improvement

Special Sauce* (Nonessential Ingredients)

• Experience designing agentic products
• Experience building systems that leverage LLMs and other ML models
• Experience with event-driven distributed systems
• Solid understanding of workforce management
• Solid understanding of restaurant operations

#LI-HYBRID
#BI-Hybrid

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits within the Service Agent pillar: 12 teams and growing, building every capability that makes Fin work. You'll own 1-2 of the most strategically significant work streams in the pillar. These aren't static teams with stable roadmaps. We re-evaluate priorities at the pillar level constantly, spinning up and down work streams and dynamic teams to solve whatever matters most right now. The teams you lead six months in may look nothing like the ones you start with. You need to be okay with that.

The competitive landscape is intense. Fast-moving AI-native startups are shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure and can maintain high standards while moving at startup speed.

What will you do?

You'll own strategically significant work streams end-to-end. You're accountable for outcomes, not just delivery cadence or team health, but whether the work actually moved the needle.

This is not a role for facilitators. You will be on the front line: deeply understanding the product, the problem, and the context. Sometimes that means writing code yourself. Sometimes it means doing the analysis, or driving cross-functional collaboration, or force-multiplying someone on your team who's stuck. There is a straight line between your work and the impact being delivered. You lead from the front.

We regularly spin up new work streams around emerging priorities. You'll bring together engineers who've never worked as a team, set high expectations, build momentum under aggressive timelines, and drive execution. Then the shape of your teams may change again. That's the job.

You'll develop senior engineers into leaders. We don't need someone who mentors juniors on the basics. We need someone who accelerates staff and senior engineers, who gives direct, actionable feedback that changes outcomes, and who grows the leadership capacity of the people around them.

You'll partner with the Engineering Director on pillar-level strategy. Where should we invest more? Where are we falling behind? What should we defund? You bring these opinions, backed by what you're seeing on the ground.

And you'll do all of this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development, both personally and through how you set up your teams.

What are we looking for?

The most important thing: you need to be an exceptional people leader AND personally action-oriented. Not one or the other. We don't want managers who are great with people but distant from the product. And we don't want hands-on operators who neglect the leadership craft. You build high-performing teams AND get personally stuck in to drive outcomes when it matters.

Beyond that:

Product-minded, not process-minded. You understand what you're building and why. You have opinions about the product, not just how the team operates. You can challenge a product direction, spot a gap in the strategy, and make calls about what work matters most.

Operated at real scale with startup energy. You've likely spent time at companies operating at significant scale. You've seen what large distributed systems look like in production and what it takes to ship reliably in that environment. But you also have urgency, resourcefulness, and a bias toward action over discussion.

AI fluency. You're actively experimenting with AI-assisted development, forming opinions about how it changes the way teams build software, and pushing your teams to adopt new ways of working. This is table stakes for this role.

Technically credible. You don't need to be the deepest engineer in the room, but you can hold your own. You can review an architecture proposal and ask the right questions. You can spot when a team is over-engineering or under-investing. Engineers respect your technical judgment.

Communication. You can explain to leadership why a team needs more investment, align multiple stakeholders around a complex project, have a difficult performance conversation, and unblock an engineer on a gnarly problem, all in the same day.

Extreme autonomy. You partner with the Engineering Director on where the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of manager who waits for direction, this isn't the right role.

Critical thinking about the business. You understand what Intercom is optimising for and translate that into team-level decisions. Which work streams need investment? Where are we falling behind? What should we stop doing to go harder somewhere else?

Why Intercom, why now?

Fin is #1, and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. The engineering decisions made in the next 12 months will determine who wins.

Intercom has been building for 15 years: deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster.

Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends, and family!

#LI-Hybrid

What's the opportunity?

As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy.

Learn more about our engineering culture at intercom.engineering

What will I be doing?

As an experienced engineer you will:

• Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they.

• Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight.

• Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work.

• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

• Play an active role in hiring, mentoring and career development of other engineers

• Raise the bar for technical standards, performance, reliability, and operational excellence

What skills do I need?

• Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created

• Significant, demonstrated impact that your work has had on the product and/or the teams

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)

• You will have experience with Distributed systems

• 2+ years of experience as the primary technical leader for a team

• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

What's the opportunity?

As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy.

Learn more about our engineering culture at intercom.engineering

What will I be doing?

As an experienced engineer you will:

• Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they.

• Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight.

• Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work.

• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

• Play an active role in hiring, mentoring and career development of other engineers

• Raise the bar for technical standards, performance, reliability, and operational excellence

What skills do I need?

• Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created

• Significant, demonstrated impact that your work has had on the product and/or the teams

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)

• You will have experience with Distributed systems

• 2+ years of experience as the primary technical leader for a team

• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

What's the opportunity? 

We’re looking for Staff Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. 

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! 

What will I be doing? 

Product Engineers in the AI Group

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.
• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.
• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

These are meant to be indicative, not hard requirements.

• 10+ years of experience shipping high-quality products.
• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!
• Strong willingness to fight for good outcomes
• Bias towards progress over perfection
• BSc in Computer Science, Maths or Statistics or related discipline 

Bonus skills & attributes 

• Previous experience in data analytics, or statistical role

Benefits 

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

What's the opportunity? 

We’re looking for Staff Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. 

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! 

What will I be doing? 

Product Engineers in the AI Group

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.

• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.

• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..

• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.

• Play an active role in the hiring, mentoring, and career development of other engineers.

• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

These are meant to be indicative, not hard requirements.

• 10+ years of experience shipping high-quality products.

• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.

• You can demonstrate significant impact in the work that you have done.

• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!

• Strong willingness to fight for good outcomes

• Bias towards progress over perfection

• BSc in Computer Science, Maths or Statistics or related discipline 

Bonus skills & attributes 

• Previous experience in data analytics, or statistical role

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work!

• Pension scheme & match up to 4%

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Flexible paid time off policy

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 

• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

• Relocation support for those moving to our offices

#LI-Hybrid

What's the opportunity?

In the last six months, we experienced an increase in demand for software engineers who work closely with our most strategic customers and help bridge the gap between their business goals and our AI Agent for Customer Service, Fin.

As a Staff Forward Deployed Engineer, you’ll work directly with these customers and our Go-To-Market team to deeply understand use cases and design, build, and implement solutions for them. You’ll operate with a high degree of autonomy and trust: expected to set direction, own outcomes, and represent Intercom confidently in high-stakes customer contexts. As a result, you’ll play a pivotal role in revolutionising how our customers scale their support operations while unlocking meaningful business impact.

In addition, you’ll lead by example: acting as a cross-functional force multiplier who influences product direction with field insight and helps define what Forward Deployed Engineering means at Intercom.

If you’re looking for ownership, creativity, and the chance to steer R&D and Go-To-Market teams in a fast-paced environment, this role is for you.

What will I be doing?

• Lead the adoption of Fin by helping prospects unlock the power of Intercom’s AI capabilities to automate and scale their support operations. 
• Embed deeply with strategic customers to understand their business challenges and technical requirements, acting as a proactive partner who steers them toward outstanding results with Fin.
• Work hands-on with customers’ technical teams as a confident subject-matter expert and trusted advisor, coding side-by-side to drive projects to completion.
• Collaborate closely with Sales, Success, and Product teams, and actively influence their work to ensure seamless customer experiences, project success, and timely, actionable product feedback.
• Lead and evolve the Forward Deployed Engineering function, sharing insights and shaping how the role operates as it grows.
• Leverage connections across our strategic accounts to anticipate challenges, align stakeholders quickly and influence decisions that drive us to success.
• Provide guidance and mentorship to Forward Deployed Engineers and Solutions Engineers as we continue to scale.
  
  

What skills do I need?

• Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created. Bonus points if you’re a former founder or early engineer at a startup.
• Demonstrated track record of autonomous decision-making, prioritisation and accountability for outcomes: such as 2+ years serving as the primary technical leader for a team.
• You are interested in AI/ML and able to ramp up on unfamiliar concepts quickly: absorbing new capabilities, limitations and trade-offs fast enough to guide customers and internal teams.
• You set the high bar for cross-functional collaboration. Skilled at navigating organisational boundaries, rallying diverse teams, and steering everyone toward the best outcome for our customers and Intercom.
• Deep knowledge of a high-level programming language (for example, JavaScript, Python, Ruby, etc.) but it doesn’t need to be a language that we use here. Great people are effective and learn what we use quickly (or introduce us to better ways of working).
• Decisive and pragmatic: know when to prototype and ship fast yourself, and when to escalate or delegate. Always keeping quality high and business goals front-of-mind.
• Proficient using and writing REST APIs to integrate systems effectively.
• Strong communicator who tailors the message to any audience. Can easily talk to engineers and non-technical audiences about the same topics at the right level of detail.
• Willing to travel and work on-site with customers to build strong relationships and deeply understand their needs.
  
  

Benefits 

What's the opportunity?

In the last six months, we experienced an increase in demand for software engineers who work closely with our most strategic customers and help bridge the gap between their business goals and our AI Agent for Customer Service, Fin.

As a Staff Forward Deployed Engineer, you’ll work directly with these customers and our Go-To-Market team to deeply understand use cases and design, build, and implement solutions for them. You’ll operate with a high degree of autonomy and trust: expected to set direction, own outcomes, and represent Intercom confidently in high-stakes customer contexts. As a result, you’ll play a pivotal role in revolutionising how our customers scale their support operations while unlocking meaningful business impact.

In addition, you’ll lead by example: acting as a cross-functional force multiplier who influences product direction with field insight and helps define what Forward Deployed Engineering means at Intercom.

If you’re looking for ownership, creativity, and the chance to steer R&D and Go-To-Market teams in a fast-paced environment, this role is for you.

What will I be doing?

• Lead the adoption of Fin by helping prospects unlock the power of Intercom’s AI capabilities to automate and scale their support operations. 
• Embed deeply with strategic customers to understand their business challenges and technical requirements, acting as a proactive partner who steers them toward outstanding results with Fin.
• Work hands-on with customers’ technical teams as a confident subject-matter expert and trusted advisor, coding side-by-side to drive projects to completion.
• Collaborate closely with Sales, Success, and Product teams, and actively influence their work to ensure seamless customer experiences, project success, and timely, actionable product feedback.
• Lead and evolve the Forward Deployed Engineering function, sharing insights and shaping how the role operates as it grows.
• Leverage connections across our strategic accounts to anticipate challenges, align stakeholders quickly and influence decisions that drive us to success.
• Provide guidance and mentorship to Forward Deployed Engineers and Solutions Engineers as we continue to scale.
  
  

What skills do I need?

• Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created. Bonus points if you’re a former founder or early engineer at a startup.
• Demonstrated track record of autonomous decision-making, prioritisation and accountability for outcomes: such as 2+ years serving as the primary technical leader for a team.
• You are interested in AI/ML and able to ramp up on unfamiliar concepts quickly: absorbing new capabilities, limitations and trade-offs fast enough to guide customers and internal teams.
• You set the high bar for cross-functional collaboration. Skilled at navigating organisational boundaries, rallying diverse teams, and steering everyone toward the best outcome for our customers and Intercom.
• Deep knowledge of a high-level programming language (for example, JavaScript, Python, Ruby, etc.) but it doesn’t need to be a language that we use here. Great people are effective and learn what we use quickly (or introduce us to better ways of working).
• Decisive and pragmatic: know when to prototype and ship fast yourself, and when to escalate or delegate. Always keeping quality high and business goals front-of-mind.
• Proficient using and writing REST APIs to integrate systems effectively.
• Strong communicator who tailors the message to any audience. Can easily talk to engineers and non-technical audiences about the same topics at the right level of detail.
• Willing to travel and work on-site with customers to build strong relationships and deeply understand their needs.
  
  

Benefits 

What's the opportunity? 

We’re looking for Staff Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. 

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! 

What will I be doing? 

Product Engineers in the AI Group

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.

• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.

• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..

• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.

• Play an active role in the hiring, mentoring, and career development of other engineers.

• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

These are meant to be indicative, not hard requirements.

• 7+ years of experience shipping high-quality products.

• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.

• You can demonstrate significant impact in the work that you have done.

• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!

• Strong willingness to fight for good outcomes

• Bias towards progress over perfection

• BSc in Computer Science, Maths or Statistics or related discipline 

Bonus skills & attributes 

• Previous experience in data analytics, or statistical role

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work!

• Pension scheme & match up to 4%

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Flexible paid time off policy

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 

• MacBooks are our standard, but we also offer Windows for certain roles when needed.

What's the opportunity?

As a Staff Engineer in our Growth organization, you will be a technical leader within a team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy.

You will be joining our Growth organization as part of our Self‑Serve team. This team owns the end‑to‑end, no‑touch customer journey – from discovering Intercom, to signing up, onboarding, trialling, and upgrading – entirely through the product, without ever talking to Sales.

The team runs high‑impact experiments and builds product experiences that improve the self‑serve funnel (sign‑up → trial → paid), drive product adoption, reduce churn, and ultimately deliver uplift in self‑serve revenue growth.

Their mission is to grow and retain the self‑serve customer base and they work cross‑functionally with Marketing, Web, GTM, and other Growth teams (Billing, Pricing and Packaging, etc). They sit very close to the revenue line, with clear ownership of self‑serve ARR and expansion

Learn more about our engineering culture at intercom.engineering

What will I be doing?

As an experienced engineer you will:

• Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they.
• Care about agility as much as you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight.
• Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work.
• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.
• Play an active role in hiring, mentoring and career development of other engineersRaise the bar for technical standards, performance, reliability, and operational excellence
  
  

What skills do I need?

• Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created
• Even better if you have experience in similar Growth organizations or in parts of the business that have commercial impact and responsibility
• Significant, demonstrated impact that your work has had on the product and/or the teams
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
• You will have experience with Distributed systems
• 2+ years of experience as the primary technical leader for a team
• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy.
  
  

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Toast is a rapidly growing company that's revolutionizing how the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you will be challenged to take on meaningful projects to help craft the company's future. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.

We’re looking for a Staff Software Engineer to join in building the Scheduling product as part of Toast’s Team Management Suite for restaurant employers. You’ll play a key roll* in the design, development, and delivery of scalable software solutions that enable restaurant owners to build an optimal labor plan that balances interests in profitability, employee’s desire for predictability and flexibility, and guest satisfaction.

A day in the life (Responsibilities)

• Lead fellow fellow developers, product managers, and designers, to build amazing Scheduling features with a goal of increasing our consumer footprint at Toast and employee engagement within restaurants
• Flex your full-stack development muscles with challenging end-to-end tasks in a supportive, collaborative team environment
• Participate in designing, estimating, implementing, testing, and debugging end-to-end solutions
• Mentor developers through code-pairing and detailed code, architecture, and project reviews
• Champion best practices for development, deployment and quality life cycles
• Actively contribute to product design and feature selection discussions
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 8+ years experience in Java, Kotlin or other object oriented language(s)
• Hands on experience with modern web standards and technologies (e.g. React, TypeScript, REST, GraphQL)
• A proven track record of building partnerships across engineering, product, customer success, and other stakeholders.
• Experience and interest in mentoring/leading peers
• Experience maintaining a high bar for quality, and guiding teams to hold a high bar for the technical quality of their deliverables.
• Strong customer empathy and a drive to make their lives better through a thoughtful user experience, robust technical solutions, and continuous product improvement.

**This role requires two days per week in our Dublin office**

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-HYBRID #BI-Hybrid