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. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As Senior Principal Software Engineer and Senior Architect, you will be one of the most senior technologists at Toast, setting the technical vision and architectural direction for the pod while remaining hands-on in its most ambitious work. You'll define how AI-native engineering is done at Toast and spread those patterns across the organization.

A day in the life (Responsibilities)

• Develop and drive the architectural vision for AI Pod, establishing patterns for AI-native development that scale across Toast engineering
• Be an active participant and authoritative technical voice in cross-organizational strategy and architecture discussions
• Lead the pod's most complex, high-impact initiatives from design through production — staying hands-on throughout
• Evolve agentic development practices within the pod and champion their adoption across Toast
• Work closely with other Senior Principal Engineers and technical leaders across Toast to advance the overall architecture
• Mentor and develop technical leadership within the pod and across teams
• Partner with engineering leadership and product to translate strategic goals into executable technical plans

What you'll need to thrive (Requirements)

• 12+ years of experience designing and building highly scalable, mission-critical distributed software systems
• 10+ years of experience building and operating SaaS products, ideally AWS-hosted
• Demonstrated ability to drive architectural vision for a company, line of business, or highly scalable platform
• Deep experience building, deploying, and operating LLM-powered agents and AI-native systems
• 1+ years of hands-on experience using the latest AI coding agents with a strong desire to go all-in on agentic development practices
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Ability to move fluidly between whiteboard architecture and understanding the ebb and flow of code under load
• Ability and desire to communicate and influence at the executive level

What will make you stand out

• Experience managing or leading a small engineering team (2-4 engineers)
• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

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. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building full-stack across the systems other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Contribute full-stack across backend services and frontend or developer-facing interfaces as needed
• Write high-quality, well-tested code and participate in design and code reviews
• Partner closely with product management to shape feature requirements, contribute to roadmap discussions, and translate product vision into reliable technical solutions

What you'll need to thrive (Requirements)

• 5+ years of experience designing and implementing scalable software systems, with a full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

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. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Principal Software Engineer, you'll set the technical direction for how we design, build, and evolve these systems, working full-stack across the agentic workflows that employees across Toast depend on every day. This role is for someone who can drive architecture, raise the engineering bar across the team, and stay hands-on building.

A day in the life (Responsibilities)

• Define and drive the technical architecture for AI Foundations platform, spanning backend services, frontend tooling, and third party integrations
• Lead full-stack design and delivery across the LLM proxy, AI key management, observability pipelines, and internal plugin marketplace
• Architect and deliver autonomous agents and MCP services that participate in the software development lifecycle
• Set and uphold engineering standards across the team: code quality, system design, testing, and operational practices
• Mentor and technically lead engineers across all levels through design reviews, code reviews, and pairing
• Partner with product and platform leadership to shape the AI Foundations roadmap and translate strategy into executable technical plans
• Collaborate closely with designers and product teams to translate UX concepts into polished, production-ready frontend experiences
• Serve as a key technical voice in cross-team discussions, representing AI Foundations in architecture decisions across Toast engineering

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Proven ability to mentor engineers and raise the technical bar of a team through standards, reviews, and hands-on guidance
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP, tool use patterns, or agentic frameworks
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies, with demonstrated experience building user-facing product interfaces
• Comfort with a rapidly changing technical landscape and a bias towards action over analysis paralysis

What will make you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

**This role requires a minimum of 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.

Role Summary

The Director of Application Management is a senior, executive-level leadership role responsible for defining and executing the global strategy for application management, managed solutions, and next-generation AI-enabled service offerings.

Operating with VP-level scope and accountability, this leader will oversee a globally distributed organization spanning U.S.-based managed services and international application management teams. The role also owns the creation and scaling of new strategic capabilities, including Site Reliability Engineering (SRE), Interface-as-a-Service, and AI-driven (agentic) development.

This position requires a balance of strategic vision, operational rigor, and deep platform expertise to deliver highly reliable, scalable, and continuously evolving managed services for clients worldwide.

Key Responsibilities

Global Application Management Leadership

• Own and scale a global Application Management function supporting mission-critical client environments across all regions
• Define and implement a standardized global operating model, including SLAs, KPIs, and delivery frameworks
• Drive consistency, quality, and continuous improvement across geographically distributed teams
• Ensure alignment with regional regulatory, operational, and client-specific requirements

U.S. Managed Solutions Leadership

• Lead the U.S.-based managed solutions organization with full accountability for service delivery outcomes
• Ensure tight integration across infrastructure, platform, and application layers
• Establish a culture of ownership, accountability, and operational excellence
• Serve as executive escalation point for critical client and operational issues

SRE & Reliability Engineering

• Build and scale a modern SRE function focused on reliability, automation, and observability
• Define reliability targets, error budgets, and operational maturity standards
• Embed SRE principles across all service delivery teams
• Drive adoption of proactive, automated, and self-healing operational models

Next-Generation Service Development

• Define, build, and scale new managed service offerings, including:
• Interface-as-a-Service
• Agentic AI development for product customization and workflow automation
• Standardized global upgrade services
• Productize services with clear delivery models, value propositions, and scalable execution frameworks
• Partner closely with Product and Engineering to align service capabilities with platform evolution

AI & Automation Strategy

• Lead the adoption of AI-driven capabilities to transform service delivery and operational efficiency
• Develop and scale agentic workflows for configuration, customization, and support
• Identify and execute opportunities to reduce manual effort through intelligent automation
• Ensure secure, compliant, and responsible use of AI across client environments

Client Lifecycle & Upgrade Excellence

• Establish a global, repeatable model for client upgrades across platforms and geographies
• Improve predictability, reduce risk, and enhance the client experience during upgrades
• Integrate upgrade processes into ongoing managed service delivery
• Drive automation and standardization across lifecycle operations

Executive Stakeholder Engagement

• Act as a senior leader across Product, Engineering, Sales, and Customer Success organizations
• Engage directly with strategic clients and executive stakeholders
• Provide clear, data-driven reporting on performance, risks, and transformation initiatives
• Influence roadmap and investment decisions based on operational insights

Required Experience & Qualifications

Leadership & Operational Experience

• 15+ years of experience in enterprise software, healthcare IT, or managed services
• Proven experience leading large-scale, globally distributed teams
• Demonstrated success operating at a senior leadership (VP-equivalent) level
• Strong track record managing mission-critical application environments or SaaS operations
• Experience building and scaling SRE or reliability-focused organizations

InterSystems Expertise (Strongly Preferred)

• Deep experience with:
• HealthShare
• TrakCare
• HealthConnect / HealthConnect Cloud
• IRIS data platform
• Strong understanding of InterSystems-based architectures, interoperability, and operational models

Technical & Domain Expertise

• Experience with cloud and hybrid environments (public and private cloud)
• Strong understanding of integration frameworks and interface engines
• Familiarity with DevOps, CI/CD, and infrastructure-as-code practices
• Experience with observability, monitoring, and incident management tooling

AI & Innovation

• Experience applying AI and automation in enterprise or operational environments
• Understanding of agentic AI concepts and enterprise use cases
• Ability to translate emerging technologies into scalable service offerings

Leadership Expectations

• Operates with VP-level ownership, autonomy, and decision-making authority
• Drives clarity and structure across complex, global operations
• Balances long-term strategy with hands-on execution
• Builds and leads high-performing, accountable teams
• Establishes a culture of continuous improvement and innovation
• Communicates effectively at both executive and technical levels

Success Measures

• Standardized and scalable global application management model in place
• Improved SLA performance, uptime, and client satisfaction across regions
• Successful launch and adoption of SRE, Interface-as-a-Service, and AI-driven offerings
• Measurable reduction in manual operations through automation and AI
• Predictable, efficient global upgrade execution
• Strong alignment across Product, Services, and client outcomes

MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data. Atlas is at the heart of our AI-ready data foundation. Atlas is a best-in-class, fully managed, multi-cloud database service that simplifies the complexities of deploying and managing highly available database deployments across multiple regions and cloud providers. Atlas offers vertically and horizontally scalability, built-in automation for optimizing workloads and resources, advanced observability and security features, and unmatched data distribution with over 125 regions available globally across AWS, Google Cloud, and Azure. 

This team is at the forefront of innovation, having brought to life some of the most exciting features we’ve launched in the past, such as multi-cloud databases, predictive autoscaling, and intelligent workload management. Furthermore, this team will continue to play a critical role as the platform expands to where developers need it most: AI search and retrieval, application development, and more.

This role can be based out of our Dublin office or remotely in the Ireland region.

About the Role

Product Managers on the Atlas team work side-by-side with engineering, design, marketing, and analytics to build scalability capabilities that our users trust and that work for the business. You’ll spend your time deeply understanding how customers grow their workloads, developing hypotheses about where scaling breaks down, and validating them with design solutions across Atlas and the MongoDB server. If you’re doing well, you will continuously be accelerating the rate at which our users can safely scale up, scale down, and horizontally scale their deployments.

Our engineering teams are responsible for ensuring that clusters can scale seamlessly as demand changes — from automatic vertical scaling to horizontal auto-scaling — while keeping customer operations and workloads highly available and performant. Achieving this requires clear scaling policies, strong observability into capacity and performance, and resilient mechanisms for rapid yet low-risk scaling actions across our distributed service.

In this role, you'll collaborate closely with engineering to strengthen and standardize how clusters scale in Atlas — defining strategies and features that make scaling across our multi-tenant, globally distributed platform safe, predictable, and low-impact for customers, from underlying MongoDB server capabilities through to Atlas automation and APIs..

Responsibilities

• Own the strategy and roadmap for key Atlas components to ensure customers have a frictionless user experience
• Champion rigorous tools, processes, and frameworks across a broad range of engineering organizations to drive high-confidence rollouts and operational stability
• Drive collaboration across engineering, marketing, sales, and executive leadership
• Lead the team to the right product decisions via deep engagement and research with customers, prospects, internal stakeholders, and partners
• Actively maintain a view of how the market, competition, and technologies are evolving, and factor that into product direction
• Be passionate about the data around your products, ensuring business impact can be measured and used to continually hone products towards excellence
• Partner strategically with field and go-to-market teams in customer engagements

Requirements

• 5+ years of product management or equivalent experience with a complex technical enterprise-focused product
• Solid technical skills. Our users are developers, devops, and ops engineers, and our product managers must be just as technical and have working knowledge in these areas to better advocate for them. While not expected to write production code, you should be comfortable evaluating new technologies, exploring database technologies, and speaking authoritatively on any technical aspects of your portfolio
• Expert-level proficiency in one or more advanced technical topics. Ideally, previous experience as a developer, operations engineer, or similar
• Demonstrated success in solving problems for a developer audience, and delivering software products to market
• Skills to effectively establish and communicate product strategy & vision to all relevant stakeholders; ability to translate technology features into business benefits. Adept at navigating open-ended questions, effective at decision-making in a fast-paced team, relentless when identifying solutions and driving them to completion
• Strong team skills and experience to bring together diverse views, a can-do attitude, optimism, humility, and willingness to embrace the unknown
• B.S. in Computer Science or equivalent work experience

Nice to have

• Proficiency in managing large scale software rollouts, especially in ways to automate and cohort rollouts to prioritize different environments and customers
• Experience collaborating with customers in highly regulated industries, understanding the unique challenges and requirements they face
• Database experience - MongoDB experience is a plus 
• Last, but not least, desire to take an active role in innovation

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: 2263204862

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. 

Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem.

Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap.

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

Our ideal candidate will have

• 4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients 
• Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
• Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
• Experience of using and developing with MongoDB and JSON based Document models is highly desirable
• Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
• Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems
• Great communication skills (both spoken and written), within the team and in customer meetings
• Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs
• And finally, a strong interest in how AI supported toolchains can improve application development

Position Expectations

• Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption
• Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation
• Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
• Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations
• Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
• Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams
• Assist sales teams in evaluating opportunities with prospects and customers
• Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe)

Success Measures

The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:

• Become an expert level user of MongoDB, and our tools current migration products
• Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
• Communicate complex technical proposals simply and convincingly to a wide range of audiences
• Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
• Gain the reputation as a trusted advisor with our field teams and customers
• Contribute to the success of customer application migration initiatives that they support

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: 4263294981

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.

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

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. 

Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem.

Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap.

Our ideal candidate will have

• 4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients 
• Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
• Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
• Experience of using and developing with MongoDB and JSON based Document models is highly desirable
• Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
• Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems
• Great communication skills (both spoken and written), within the team and in customer meetings
• Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs
• And finally, a strong interest in how AI supported toolchains can improve application development

Position Expectations

• Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption
• Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation
• Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
• Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations
• Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
• Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams
• Assist sales teams in evaluating opportunities with prospects and customers
• Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe)

Success Measures

The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:

• Become an expert level user of MongoDB, and our tools current migration products
• Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
• Communicate complex technical proposals simply and convincingly to a wide range of audiences
• Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
• Gain the reputation as a trusted advisor with our field teams and customers
• Contribute to the success of customer application migration initiatives that they support

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: 4263294981

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.

Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.

An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.

As a Principal Software Engineer, you'll work full-stack across ambitious, cross-cutting initiatives, bringing deep technical expertise and architectural judgment to some of the hardest problems at Toast.

A day in the life (Responsibilities)

• Lead full-stack design and delivery of AI-native solutions that address complex, cross-functional problems across Toast
• Drive technical architecture for pod initiatives, from backend services and APIs to frontend and developer-facing interfaces
• Build and integrate LLM-powered agents, tools, and workflows that bring AI capabilities directly into product and platform contexts
• Set and uphold engineering standards within the pod: code quality, system design, testing, and operational practices
• Mentor engineers through design reviews, code reviews, and pairing
• Partner with stakeholders across Toast engineering to define problem scope, align on approach, and deliver outcomes
• Serve as a technical voice in cross-team architecture discussions, connecting pod work to broader Toast engineering patterns

What you'll need to thrive (Requirements)

• 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
• Demonstrated experience leading technical architecture for a platform, product, or engineering team
• Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Strong prompt engineering skills and intuition for how LLM behavior responds to context and instructions
• Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
• A bias towards action and comfort operating in ambiguous, rapidly evolving problem spaces

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms or internal tooling
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

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

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’re looking for a Software Engineer II to join in building the Scheduling product as part of Toast’s Team Management Suite for restaurant employers. You’ll play an important role 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):

• 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
• Ship code that has a massive impact on the growth of Toast
• Learn and champion best practices for development, deployment, and quality life-cycles
• Actively contribute to product design and feature selection discussions
• Participate in code reviews to ensure technical implementations meet functional requirements

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)
• A proven track record of building partnerships across engineering, product, customer success, and other stakeholders.
• 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.
• Passionate about technology and learning new things
• Desire to make continuous improvements to teams and technology
• You are not afraid to tackle big problems and ask insightful questions.

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

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’re looking for an engineer to help build and scale Toast’s labor cost and timekeeping platforms - systems that directly influence labor spend for more than 166,000 restaurant locations. You’ll work on highly visible, mission-critical infrastructure supporting millions of employees and operators across Toast restaurants.

In this role, you’ll gain hands-on experience with large-scale, data-intensive systems. We’ve processed over a billion of shift records and are in the midst of an exciting architecture modernization to support rapid growth and faster development. We are operating at true scale, pushing the limits of our databases. If you’re excited to lay the technical foundation for the next generation of labor cost management—and to help restaurant operators save real money—we’d love to hear from you.

A day in the life (Responsibilities)

• Help shape our next-generation timekeeping systems that operate at massive scale, processing tens of millions of shift events every week.
• Build, run, and improve core backend systems alongside a collaborative, supportive team.
• Be a part of the organization with a strong focus on engineering culture and full end-to-end ownership.
• Participate across the full development lifecycle—design, estimation, implementation, testing, debugging, and deployment—while learning and applying best practices for building and operating reliable systems at scale.
• Ship code that directly impacts Toast’s growth and the day-to-day operations of restaurant teams
• Partner with product and design to influence what we build and how we build it
• Participate in thoughtful code reviews, both giving and receiving feedback

What you'll need to thrive (Requirements)

• Experience with one or more object-oriented programming languages (such as Java, Kotlin, or similar).
• Willingness to monitor, troubleshoot, and improve system performance through logging and metrics
• Ability and motivation to learn quickly and apply knowledge to solve real problems
• A hunger to take on challenging projects and build systems that operate at massive scale.

Above all, we’re looking for a strong engineer with solid fundamentals.

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

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.

We’re looking for a Senior Software Engineer to help build and scale Toast’s labor cost and timekeeping platforms - systems that directly influence labor spend for more than 166,000 restaurant locations. You’ll work on highly visible, mission-critical infrastructure supporting millions of employees and operators across Toast restaurants.

In this role, you’ll gain hands-on experience with large-scale, data-intensive systems. We’ve processed over a billion shift records and are in the midst of an exciting architecture modernization to support rapid growth and faster development. We are operating at true scale, pushing the limits of our databases. If you’re excited to lay the technical foundation for the next generation of labor cost management—and to help restaurant operators save real money—we’d love to hear from you.

A day in the life (Responsibilities):

• Drive the evolution of our next-generation timekeeping platform, operating at significant scale and processing tens of millions of shift events each week
• Build, run, and improve core backend systems alongside a collaborative, supportive team.
• Take end-to-end ownership of systems, contributing to a strong engineering culture focused on quality, reliability, and long-term maintainability
• Lead work across the full development lifecycle—design, estimation, implementation, testing, debugging, and deployment—while learning and applying best practices for building and operating reliable systems at scale.
• Ship code that directly impacts Toast’s growth and the day-to-day operations of restaurant teams
• Partner with product and design to influence what we build and how we build it
• Contribute to and elevate team standards through thoughtful code reviews and technical discussions
• Mentor and provide technical guidance to other team members

What you'll need to thrive (Requirements)

• 5+ years of back-end experience with one or more object-oriented programming languages (such as Java, Kotlin, or similar).
• Experience owning and operating production systems.
• A track record of tackling ambiguous, high-impact challenges and delivering scalable solutions
• Ability and motivation to learn quickly and apply knowledge to solve real problems
• A hunger to take on challenging projects and build systems that operate at massive scale.

Above all, we’re looking for a strong engineer with solid fundamentals.

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

Pre-Sales Solutions Engineer

Commercial | EMEA | Italian Speaking

About the Opportunity

Solutions Engineers at Klaviyo are technical sellers at the heart of our revenue motion. We don't just demo software. We work as trusted advisors, helping fast-growing commercial businesses understand how Klaviyo can solve their real challenges, and then we prove it.

We're looking for a Pre-Sales Solutions Engineer to join our EMEA Commercial team, covering the Entrepreneur and SMB segment. This is a great opportunity for someone early in their pre-sales career who is curious, eager to learn, and excited by the intersection of technology and sales. You don't need to have all the answers on day one. What matters is that you ask great questions, pick things up quickly, and genuinely want to help customers succeed.

You'll work alongside Account Executives across the Italian-speaking market and wider EMEA region, supporting the technical side of deals and building your skills in a collaborative, high-energy team environment.

What We Do as Solutions Engineers

We're technical sellers who drive revenue by winning Commercial deals. Our job is to own the technical win. That means building champions, demonstrating clear value, and making sure prospects choose Klaviyo.

We work directly with customers to design solutions that integrate into their existing tech stacks, taking a consultative approach that builds confidence and gets buy-in from both technical and business stakeholders.

Our team builds beyond the day-to-day too. Recent projects include AI-powered demo data generators, a Chrome extension for troubleshooting API calls, and templatised mobile apps to showcase our SDK capabilities. We're a team that builds things to solve problems, and we'd love you to grow into that.

How You'll Make a Difference

Support the Technical Win

• Work alongside Account Executives to support the technical side of Commercial opportunities from qualification through to close.
• Participate in technical discovery conversations, learning how to uncover a prospect's goals, current tools, and key constraints.
• Deliver product demos and presentations to business and technical audiences, connecting Klaviyo's capabilities to what the customer actually cares about.
• Help scope proofs of concept and pilot projects, supporting delivery and keeping stakeholders informed along the way.
• Learn how to handle common objections and navigate competitive questions with guidance from the broader team.

Build Customer Confidence

• Develop a strong understanding of Klaviyo's platform, APIs, and integrations so you can answer technical questions clearly and confidently.
• Build relationships with prospects and support them on topics like data strategy, integrations, and implementation approach.
• Collaborate with Product, Engineering, and Support on RFPs, security reviews, and technical evaluations where needed.
• Start building knowledge of the competitive landscape so you can add value in deal conversations over time.

Contribute to the Team

• Help build and improve repeatable assets like demo narratives, templates, and playbooks that make the wider team more effective.
• Use AI tools to support your work, from research and demo prep to light automation.
• Share what you're hearing from customers back to Product and GTM teams, especially around gaps and trends in the SMB segment.

Who You Are

Required

• Fluent in Italian and English, written and spoken.
• 1+ years of experience in a pre-sales, solutions engineering, technical sales, or customer-facing technical role at a B2B SaaS company.
• Curiosity about technology and a genuine interest in how businesses use data and marketing tools to grow.
• Comfortable talking to both technical and non-technical stakeholders and adapting your communication style accordingly.
• Good at explaining things clearly, whether that's a technical concept to a marketer or a business problem to a developer.
• Willing to run live product demos and get comfortable thinking on your feet when questions come up.
• A proactive mindset and willingness to learn quickly in a fast-moving environment.

Nice to Have

• Some familiarity with web technologies, REST APIs, or data integrations, even if you haven't worked with them professionally.
• Exposure to marketing technology, eCommerce platforms (e.g. Shopify, Magento), or customer engagement tools.
• Basic experience with JavaScript, Python, or SQL for exploring data or light integration work.
• Familiarity with AI-assisted tools (e.g. Claude, Cursor) and an interest in using them to work smarter.
• Any experience in a commercial or SMB-focused environment, whether in sales, support, or a technical capacity.
• Additional spoken European languages

What Sets You Apart

• You ask great questions and genuinely listen to the answers.
• You're not afraid to say you don't know something, but you always follow up with the answer.
• You pick up new tools and concepts quickly and enjoy figuring things out.
• You take ownership of your work and follow through without needing to be chased.
• You're excited about the idea of building a career in pre-sales and see this role as a serious starting point.

How We'll Measure Success

• Contribution to technical win rate in the Commercial segment.
• Quality of demos, discovery conversations, and handoffs to Customer Success and implementation teams.
• Speed and consistency in picking up product knowledge and ramping into deals.
• Contributions to team assets and the feedback you bring back from customer conversations.

#LI-Hybrid 

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

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.

POS-7094

Job Overview: We are seeking a Security Engineer with expertise in implementing and troubleshooting security tools to enhance and support our security infrastructure. This role focuses on evaluating, deploying, and maintaining a suite of security technologies that protect our organization’s assets. The ideal candidate will have extensive experience in security engineering, hands-on tool deployment, and troubleshooting complex issues within various security solutions.

Key Responsibilities:

• Security Tool Implementation: Lead the planning, deployment, and configuration of security tools, ensuring they meet organizational needs and integrate seamlessly with existing systems. Experience with SASE tools such as (Netskope/Zscaler), EDR tools such as (Crowdstrike/SentinelOne), Endpoint Privilege Management, Application Allowlisting, Email Security, SIEM Management and Detection Engineering 
• Troubleshooting and Support: Diagnose and resolve issues with security tools in real-time to maintain their effectiveness, reduce downtime, and ensure optimal performance.
• Tool Evaluation and Testing: Research, test, and recommend new security technologies based on the latest threat landscape and organizational needs. Lead proof-of-concept (POC) projects to assess potential new tools.
• System Integration: Work closely with IT and other teams to ensure security tools are effectively integrated with various systems, including cloud and on-premises environments.
• Automation and Optimization: Develop scripts and automation processes to improve the efficiency and reliability of security tools, minimizing repetitive tasks and reducing time-to-response.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation of security tool configurations, troubleshooting procedures, and best practices to ensure consistent processes and knowledge transfer.
• Collaboration: Collaborate with other security teams, such as incident response and vulnerability management, to identify tool requirements, share insights, and improve overall security capabilities.
• Training and Mentorship: Act as a subject matter expert on security tools, providing training and guidance to junior team members and stakeholders.

Qualifications:

• Experience: 3+ years of experience in cybersecurity, with a focus on security engineering, tool deployment, and troubleshooting.
• Education: Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience).
• Certifications: Relevant certifications, such as CISSP, GIAC, CEH, or vendor-specific certifications for security tools (e.g., CrowdStrike, Netskope, Tenable, or similar).
• Technical Skills:
• Strong hands-on experience with a variety of security tools, such as endpoint protection, SIEM, vulnerability management, EDR, DLP, and network security tools.
• Deep troubleshooting skills across both hardware and software security solutions.
• Familiarity with scripting languages (Python, PowerShell, Bash) for automation of tasks related to tool deployment and management.
• Understanding of network protocols, cloud environments, and security frameworks (MITRE ATT&CK, NIST, CIS).
• Experience with configuring and managing tools in cloud environments (AWS, Azure, or GCP).
• Soft Skills:
• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate across teams and convey technical information effectively.
• Ability to work independently and manage multiple projects in a fast-paced environment.

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’s Professional Services team works with our most strategic users. You will work on the highest visibility projects to provide technical expertise to our customers to help accelerate their knowledge, solution design and integrations with Stripe. This role is responsible for leading strategic conversations and developing plans that will transform the payments and financial infrastructure for leading enterprises.

What you’ll do

Responsibilities

• Plan and execute integration engineering end-to-end, from high-level architecture down to code implementation. This includes conducting discovery sessions with users to understand their goals, parsing out specific use cases, and guiding users to implement high complexity integrations. 
• Think on your feet and communicate technical concepts, explaining how Stripe works from both a product feature and API architecture perspective. Manage user expectations on timelines and product changes.
• Be the primary, ongoing technical point of contact for our largest users' and partners' technical teams. You will be responsible for resolving user integration issues and owning escalations for operational issues and priority requests.
• Collaborate with Sales, Solution Architecture and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team
• Collaborate closely with Product and Engineering to proactively identify potential enhancements and new features based on feedback you’ll gather from the field.
• Provide deep technical support and debugging, inspecting and understanding the Stripe codebase and thoroughly testing functionality to best advise users, while also building and demonstrating proof-of-concept integrations, creating user-specific test plans, and answering ad-hoc technical questions.
• In some cases, lead "Hands On Keyboard" implementations for user engagements, providing material feedback on coding practices, CI/CD, and software architecture.
• Review and optimize existing user integrations and provide recommendations to improve performance, reliability, and efficiency.
• Build tools and analytics; create dashboards, run queries, and generate custom data reports to support user business reviews and operational needs.
• Develop and share knowledge, building reusable processes to enable the larger Professional Services team.

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

• 4 years + experience in a Software Engineering / Integration Engineering role.
• Ability to write code (in programming languages like Go, Java, C/C++ etc.) and quickly debug user code snippets.
• Comfortable with various code-level debugging (Stripe code and user code) and using code as a tool for problem-solving.
• Strong generalist technical experience, including proficiency in SQL and an understanding of data structures and algorithms.
• Understanding of the payments domain and API security topics.
• Be comfortable talking about technical concepts, and explaining how Stripe works, both from a product features and API architecture perspective.
• A user first approach & empathy with our users, capable of mapping business requirements into reliable technical solutions.
• Confident and comfortable with customers, with the ability to lead strategic technical conversations.

Preferred requirements

• Enjoy the puzzle of solving open-ended problems, both individually and as a member of our team.
  Willingness to learn and teach others, including mentoring newer team members.
• Collaborative, communicative, consultative; able to apply specific methodologies to ensure repeatability of engagements.
• Intellectually curious, with great problem solving skills.
• Technical writing skills to document complex integration guidance and processes.

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

SEAR at Toast focuses on two things: actionable intelligence collection, analysis, and delivery to engineers, and hunting the adversaries who would damage and defraud Toast, its customers, and its partners. We bake security into every layer of our products, from the first sprinkle of an idea to the final serving of a fully-baked solution. Our team is tasked with searching out and degrading the operations of persistent, motivated attackers.

Like master chefs, we blend cutting-edge technology with strategic thinking, implementing bespoke and industry-standard solutions for intelligence processing at scale. By joining SEAR, you'll be part of the kitchen crew that keeps our customers' trust from going stale. You'll tackle complex challenges that have real-world impact, helping to serve up a safer, more secure digital experience for businesses that count on Toast every day. It's not just about pattern-matching  – it's about crafting a recipe for digital trust that keeps our customers coming back for more.

A day in the life (Responsibilities)Select, implement, design, and build services and tools to manage and deliver security intelligence across Toast platforms.

• Identify, triage, and provide remediation guidance for application vulnerabilities, with a specific focus on anti-abuse activities.
• Improve developer tooling and adoption to build a more robust SSDLC which integrates security and anti-abuse features.
• Practice a #OneTeam attitude to help other Toast teams make informed, security-conscious decisions when building new public-facing software.
• Assist incident response teams with application security expertise and tools, especially related to abuse and fraud.
• Build threat models on Toast applications and use cases.
• Guide in the design and maintenance of robust and resilient network and application architecture.
• Collaborate to improve information gathering and sharing across all Toast products.
• 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)

• 5+ years experience working in software development
• Minimum 5+ years of experience in application security and security engineering.
• Experience building and maintaining scaled Java web services in production.
• Experience developing script applications in Python for scheduling and backend data handling.
• Experience leveraging LLM AI features for software development and/or security operations.
• Strong understanding of cloud application architecture.
• Successful history of being a subject matter expert to guide colleagues toward better security outcomes, especially related to abuse, fraud and legal concerns.
• Previous security experience working with fintech applications and associated requirements.
• Strong understanding of privacy, security, and cryptography patterns and when to apply them, especially when handling customer information (such as PKIs, access management, data tokenization, and anonymization).

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

Nonessential Skills/Nice to Haves

• Offensive security training and certifications (e.g. OSCP, OSWE, OSEP)
• Edge Security solution like WAF, API Security
• Adversary Emulation proficiency (red/purple teaming)
• Cloud and container security technologies
• SSDLC tooling (e.g., SAST/DAST/SCA)
• Scaled data handling in RDBMS, streaming, and columnar stores
• Metrics and charting software proficiency
• Mobile apps/threats (iOS, Android), and their particular abuse vectors
• Knowledge in security of operating systems, networking and protocols
• Securing financial technologies and associated requirements

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.

• Lead and expand a growing team of backend and frontend engineers.
• Manage engineering projects from conception to completion, ensuring timely delivery and quality standards.
• Collaborate closely with the Product Managers to shape the team’s roadmap, balancing both product goals and engineering priorities.
• Lead by example, driving continuous improvement and optimization of the team’s products and infrastructure.
• Design and architect long-term technical solutions that deliver a significant impact on both our wide platform and customers.
• Coach, mentor, hire, and grow individuals on the team to reach their full potential.

• Previous experience leading and developing growing teams.
• Proven industry experience as a Senior software engineer
• Strong technical background focusing on large-scale, cloud-based web applications.
• Proficiency in Java and related frameworks (advantage).
• Experience with user-facing products (advantage).
• Holding a degree in computer science or a similar field (preferred).
• Proven experience in project management and team leadership.
• Most importantly, a passion for motivating, mentoring, and cultivating people.

Gong believes in offering competitive compensation and benefits tailored to the local region. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, colour, religion, age, or any other basis protected by law.

To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.

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.

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

The PreSales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to PreSales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role?

• PreSales, technical consultant/sales role or similar (3+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

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.

POS-23538

At HubSpot, we’re on a mission to help millions of organizations grow better. Our platform is used by businesses worldwide to manage their marketing, sales, service and operations — and under the hood, our product is built to be flexible, secure and empowering for both our customers and our own engineering teams. We believe in autonomy, curiosity and building a workplace where everyone can thrive.

Meet the team: Messaging Strategy Frontend (Messaging Product Group)

The Messaging Product Group builds the apps and infrastructure behind marketing Email, SMS and WhatsApp in HubSpot. We work at a serious scale, powering billions of messages per month. We focus on building reliable systems while continuously innovating the product to help our customers achieve better outcomes.

Messaging Strategy Frontend builds the core customer-facing experiences that marketers use every day to create, manage and publish marketing emails and SMS. This is where marketers plan campaigns, iterate on content and make decisions that directly impact their results, across journeys that need to scale and adapt as customers grow with HubSpot.

As a Tech Lead II, you’ll be a player-coach for this space, setting technical direction, shaping product execution and helping a small team deliver high-quality experiences that marketers rely on every day.

What You’ll Do

• Lead a high-impact frontend team building and evolving the core Marketing Email and SMS management experiences (dashboards, creation flows, send/review UIs, experimentation and related onboarding surfaces).
• Contribute high-quality React/TypeScript code while guiding architectural decisions, reviewing designs and unblocking others.
• Own technical strategy for the team’s frontend surface area, including modular architecture, design system usage and cross‑app/library boundaries across Messaging.
• Partner in the leadership triad (with Product Management and Product Design) to set goals, sequence work and make trade‑offs that balance customer impact, reliability and iteration speed.
• Drive medium-to-large, multi-quarter initiatives end-to-end, from problem definition and technical proposals through implementation, rollout and measurement.
• Champion reliability and service maturity for our frontend applications. Define SLIs/SLOs, improve performance (bundle size, latency) and keep the app inside our targets.
• Mentor and grow engineers on the team through design reviews, code reviews, pairing and 1:1s, providing clear and actionable feedback.
• Collaborate closely with backend and infra teams across Messaging to design reliable, observable front-to-back solutions that scale across channels.
• Help define and uphold engineering best practices across testing, accessibility, telemetry, experimentation and on-call for our frontend services.
• Play an active role in hiring and onboarding new engineers and in representing HubSpot’s values and HEART culture throughout the interview process.

What you’ll bring

• Deep frontend engineering experience (typically 7+ years) building complex, user‑facing web applications with technologies like React, TypeScript and modern JS tooling, ideally at SaaS scale.
• A proven track record as a technical lead or senior engineer leading at least 2–3 medium‑to‑large projects from design through production, with clear customer or business impact.
• Strong system design and architectural skills in the frontend, with the ability to break down ambiguous product problems, design clear interfaces and boundaries and make pragmatic trade-offs between speed and robustness.
• Experience leading a small team or pod as a player-coach, setting direction, coordinating work and helping others grow while still contributing meaningfully to the codebase.

• A strong sense of ownership over reliability and quality. You’re comfortable digging into performance issues, production incidents and test flakiness and driving them to resolution.
• Excellent cross functional communication skills with the ability to explain technical decisions to engineers and non engineers, write clear documentation and drive alignment across teams and time zones.
• A customer‑ and product‑oriented mindset. You’re motivated by improving marketers’ real workflows (not just shipping features) and you use data and feedback to inform decisions.

Nice to Have

• Experience in marketing technology, messaging, or communications products (email, SMS, WhatsApp, or similar).
• Background working on large-scale, multi‑surface products where multiple UIs share libraries, design systems and infrastructure.
• Experience with performance optimization (bundle size, lazy loading, caching strategies) and service maturity / SLO‑driven development.
• Comfort working in environments with experimentation and AI‑powered workflows, or interest in learning quickly in this space.
• Prior experience in mentoring and developing senior engineers and in collaborating closely with EMs/TLs on promotions, feedback and growth plans.

 -

Your Role:

Join our Technical Support Team at Tenable where you’ll play a pivotal role in bridging the gap between our products and customers. Solve real-world technical challenges by offering exceptional support for cutting-edge vulnerability assessment and compliance auditing software. Your expertise will shine in complex, multi-layered customer environments. Our suite of products, detailed at https://www.tenable.com/products, offers a diverse range of opportunities. From assisting customers with their first Nessus scanner to guiding them through intricate log correlation and real-time vulnerability analysis, you'll contribute to mitigating cyber risks and closing the Cyber Exposure gap. Join us in delivering top-notch support that makes a difference!

Your Opportunity:

What You'll Need:

• Bachelor’s degree in IT or Computer Science (or equivalent experience).
• 2+ years professional experience with networking (TCP/IP), OS administration(Linux/Windows/MacOS), patch deployment, and system configuration.
• Experience providing technical support to enterprise clients, troubleshooting complex issues in production or customer environments; network security experience a plus.
• Familiarity with Artificial Intelligence (AI) as Tenable continues to build an AI-augmented support model to accelerate case resolutions and to provide an exceptional customer/TSE experience.
• Knowledge of computer, network, and application security; familiarity with Nessus or similar tools is a bonus.
• Strong analytical and problem-solving skills, with the ability to learn quickly.
• Excellent written and verbal communication; customer-focused mindset.
• Ability to manage multiple priorities in a fast-paced environment to help meet business and client needs.
• Monthly availability to work weekends (8am-4:30pm) and Holidays is also required.

And Ideally:

• Using Nessus and/or other vulnerability management or cybersecurity tools, either professionally or in an academic setting.
• Experience with ticketing systems (JIRA, Salesforce, Zendesk etc).
• Log analysis using a SEIM product (Splunk, ElasticSearch, etc).
• Database technologies and SQL knowledge (Oracle, MySQL, MSSQL, etc).
• Cloud/Virtualization technologies (AWS, Azure, Docker, Kubernetes, etc).
• Fundamental understanding of programming languages.
• Experience with or understanding of Certificates and CA’s.
• Basic understanding of reviewing PCAPs with tools such as Wireshark.
• Bilingual candidates are desirable but not required (Arabic/French/German/Spanish/Italian).

#LI-JG1

#LI-Office

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Mid-Market Account Executive

As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Focus entirely on net-new logo acquisition
• Convert inbound leads to closed opportunities 
• Leverage tools such as Sales Navigator and DiscoverOrg
• Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps)
• Multi-thread into different departments of a complex organization
• Collaborate with Sales Development Representatives to drive top of funnel activity
• Manage the full sales cycle, including negotiations and on-site technical demonstrations 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Who You Are:

• Experienced in hunting and closing net new logos
• Fluent in German required
• Able to strategically map out and break into large scale organizations
• Curious, motivated, and driven as a sales person
• Bold on the phones and creative in your emails
• Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time

 Benefits and Growth:

• High income earning opportunities based on self performance
• Opportunity for Presidents Club
• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Sales training in MEDDIC and Command of the Message 
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you!

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Continually learn new technology to build competitive knowledge, technical skill, and credibility
• Deliver product and technical presentations with potential clients
• Have a direct line of communication with the product team to collaborate on feature requests
• Help clients onboard the product and assist when they run into roadblocks. 
• Think creatively about a wide variety of technical challenges during the pre-sales life cycle 

Who You Are:

• Knowledgeable and experienced with DevOps monitoring or architecture tools. 
• Comfortable and confident in delivering technical presentations/demos to either external customers or internal teams
• Able to think creatively about a wide variety of challenges. You're going to find new things every day
• Previously experienced in systems administrations: Windows or Linux
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 25% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you!

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Continually learn new technology to build competitive knowledge, technical skill, and credibility
• Deliver product and technical presentations with potential clients
• Have a direct line of communication with the product team to collaborate on feature requests
• Help clients onboard the product and assist when they run into roadblocks.
• Think creatively about a wide variety of technical challenges during the pre-sales life cycle 

Who You Are:

• Knowledgeable and experienced with DevOps monitoring or architecture tools.
• Comfortable and confident in delivering technical presentations/demos to either external customers or internal teams
• Able to think creatively about a wide variety of challenges. You're going to find new things every day
• Previously experienced in systems administrations: Windows or Linux
• Able to sit up to 4 hours, traveling to and from client sites
• Able to travel via auto, train or air up to 25% of the time
• Fluent in written and spoken Turkish and English

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

Best-in-breed onboardingGenerous global benefitsIntra-departmental mentor and buddy program for in-house networkingNew hire stock equity (RSUs) and employee stock purchase plan (ESPP)Continuous professional development, product training, and career pathingAn inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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.

Senior Pre-Sales Solutions Engineer

Commercial | EMEA | French Speaking

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo brings to our workplace every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying.

About the Opportunity

Solutions Engineers at Klaviyo are technical sellers at the heart of our revenue motion. We don't just demo software. We work as trusted advisors, helping fast-growing commercial businesses understand how Klaviyo can solve their real challenges, and then we prove it.

We're looking for a Senior Pre-Sales Solutions Engineer to join our EMEA Commercial team, covering the Entrepreneur and SMB segment. This is a role for someone who can move quickly through a sales cycle, run sharp discovery, design practical solutions, and deliver demos that actually land. You'll be comfortable talking to both developers and marketers, and you know how to adapt on the fly.

You'll work closely with Account Executives across the French-speaking market and wider EMEA region, owning the technical side of deals from first call through to close. You bring structure and momentum to the sales cycle without slowing it down.

What We Do as Solutions Engineers

We're technical sellers who drive revenue by winning Commercial deals. Our job is to own the technical win. That means building champions, demonstrating clear value, and making sure prospects choose Klaviyo.

We work directly with customers to architect solutions that integrate into their existing tech stacks, taking a consultative approach that builds confidence and secures buy-in from technical and business stakeholders alike.

Our team builds beyond the day-to-day too. Recent projects include AI-powered demo data generators, a Chrome extension for troubleshooting API calls, web SDK injectors, and templatised mobile apps to showcase our SDK capabilities. If you're someone who builds things to solve problems, you'll fit right in.

How You'll Make a Difference

Own the Technical Win

• Partner with Account Executives to lead the technical side of Commercial opportunities from qualification through to close.
• Run focused technical discovery to understand a prospect's goals, current stack, data flows, and constraints.
• Design solution architectures that make the most of Klaviyo's platform, APIs, and integrations to meet customer needs and best practices.
• Deliver tailored demos and presentations to both business and technical audiences, clearly connecting capabilities to real customer outcomes.
• Scope and lead proofs of concept where needed, defining success criteria and keeping things on track.
• Handle objections confidently, navigate competitive situations, and bring clear strategic thinking to deal with conversations.

Be a Trusted Advisor

• Act as a go-to resource for prospects on topics like data strategy, integrations, implementation approach, and long-term scalability.
• Bring subject matter expertise across marketing technology, eCommerce, CDPs, and customer data.
• Collaborate with Product, Engineering, and Support on RFPs, security reviews, and deeper technical evaluations.
• Stay close to the competitive landscape and bring that intelligence into deals in a way that's useful, not just informational.

Build and Contribute

• Contribute to repeatable assets like demo narratives, reference architectures, playbooks, and templates that help the broader team move faster.
• Use AI tools and automation to scale your own impact and improve how you work.
• Provide clear feedback loops to Product and GTM teams on feature gaps, market trends, and what SMB customers are actually asking for.
• Support partner and channel teams where relevant, helping them position and implement Klaviyo effectively for commercial customers.

Who You Are

Required

• Fluent in French and English, written and spoken.
• 3+ years of experience in a pre-sales, solutions engineering, or solutions architecture role at a B2B SaaS company.
• Solid understanding of web technologies, APIs, and data integrations including REST APIs, webhooks, and ecommerce or marketing platforms.
• Comfortable engaging with both technical stakeholders (developers, architects) and business stakeholders (marketing, operations, leadership).
• Strong customer-facing communication skills, with the ability to make complex concepts feel simple and relevant.
• Able to run live product demos and adjust in real time based on the conversation.
• Experience working with commercial customers, with an appreciation for their pace, constraints, and how to design practical solutions that fit.
• A bias toward action and solid problem-solving instincts in fast-moving sales cycles.

Nice to Have

• Hands-on experience with JavaScript, Python, or SQL for light technical validation, data exploration, or integration work.
• Background in marketing technology, CDPs, or customer engagement platforms.
• Familiarity with AI-assisted development tools (e.g. Claude Code, Cursor) and how to use them to move faster.
• Experience with ecommerce technology stacks such as Shopify, Magento, or custom storefronts.
• Experience working with partners or consultancies that serve SMB customers.

What Sets You Apart

• You've used AI to genuinely scale your effectiveness, whether that's through automation, research, demo prep, or light development.
• You roll up your sleeves and become the expert on whatever you need to know.
• You bring competitive intelligence into deals without it feeling like a script.
• You contribute to the team through the assets, playbooks, and feedback you leave behind.
• You thrive in a fast-moving environment and don't need everything mapped out to get started.

How We'll Measure Success

• Technical win rate and contribution to overall win rate in the Commercial segment.
• Quality and consistency of solution designs and handoffs to implementation and Customer Success teams.
• Impact on repeatable assets, team enablement, and process improvements for the broader go-to-market team.
• Feedback quality delivered back to Product and GTM on segment-specific needs.

Get to Know Klaviyo

We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalised experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators — ambitious and collaborative teammates who stay focused on our north star: delighting our customers.

#LI-Hybrid 

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

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

The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We influence revenue growth across Stripe’s product portfolio, and collaborate with sales, support, product management, and Stripe’s executive team to provide the best experience to our most valued customers. 

What you’ll do

As a member of the team, the Solutions Architect will build highly consultative trusted relationships with c-level executives and technical decision makers in the customer’s organization to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. She/he will architect business models with them so they can drive new monetization opportunities and growth for both the user and Stripe. 

Responsibilities

• Be a key member of a Stripe account team with deep involvement in defining the customer strategy
• Identify and close new complex opportunities, and accelerate solution adoption. Understand and align with the customer’s product and business roadmap and uncover opportunities for Stripe to accelerate their progress on that roadmap. 
• Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering and Head of Payments. 
• Work to deeply understand the customer’s business objectives, and then design and apply Stripe’s solutions to their challenges. Develop and articulate the end to end customer transformation journey and create future roadmaps and architectures with deep 3rd party integrations in play.
• Conduct business analysis and background research on customers, industries, and competitors with a view to support growth for the user's business. 
• Lead strategy engagements with users to align to business priorities, design solutions and secure the technical win by performing in-depth customer discovery, evangelizing the proposed solutions through executive briefings, readouts, presentations, workshops and solution demos. 
• Expand Stripe’s footprint within existing accounts to new global markets and business units by introducing new capabilities and local payment methods.
• Act as the “Voice of the Customer” to bring insights, trends and opportunities to the leadership, product and engineering teams from the forefront and prioritized for delivery.  
• Participate in sales forecasting, Quarterly Business Reviews and account/territory planning to strategically and tactically align for success
• Approximately 25% travel is anticipated to help you connect in-person in a meaningful way with users and collaborate internally

Who you are

You have achieved an experienced position as an enterprise architect, senior solution architect or principal solution engineer and have a successful track record advising enterprise-grade digital native / SAAS / Platform / Marketplace companies, focused on identifying business priorities, formulating technology strategies and designing an end-to-end business solution. You possess deep technical acumen, high interpersonal and leadership skills, and have demonstrated the ability to become a trusted advisor to senior executives and facilitate customer success along the entire customer journey.  Strategic and creative thinker who can proactively identify challenges, take ownership, and maintain a positive approach when facing difficult obstacles.

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

• 4+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, sales engineer, for a global software enterprise.
• Experience in the payments/ billing / invoicing / issuing / banking / Fintech space
• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.
• Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities.
• Thorough understanding of the software development lifecycle and API architectures. A background in writing code in any of Stripe’s primary deployment languages (Ruby, Python, JavaScript, Java, Go, etc.) is a plus.
• Outstanding spoken and written communication skills, presentation skills, and confident in explaining complex concepts to both technical and non-technical audiences.
• Ability to operate independently in a highly ambiguous and fast-paced environment
• Passion to take on ownership and drive change in a constantly evolving environment. 
• Superior verbal and written communication skills in English
• Ability to travel per business needs

Preferred requirements

• Prior experience in consulting
• Experience at a growth stage internet/software company

Solutions Architect, Platforms

Who We Are

About Stripe

At Stripe, you have an unprecedented opportunity to put the global economy within everyone’s reach. 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. 

About The Team

The Solutions Architecture Team partners with our users to realise their full potential through the adoption of prescriptive solutions that drive their growth and success.

We work with C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe.  We work closely with Account Executives, Professional Services, Customer Success Managers, Partners, Technical Account Managers and Product Teams to develop and execute on the account strategy for Stripe’s platform prospects. 

What You’ll Do

As a member of the team, Solutions Architects build highly consultative trusted relationships with C-level executives and technical decision makers in the customer’s organisation to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they can drive new monetisation opportunities and growth.

Responsibilities

• Be a key member of the Platform account team with deep involvement in defining the customer strategy; Identify and close new complex opportunities, and accelerate solution adoption. 
• Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments.
• Work to deeply understand the customer’s business objectives, and then design and apply Stripe’s solutions to their challenges. Develop and articulate the end to end customer transformation journey and create future roadmaps and architectures with deep 3rd party integrations in play.
• Conduct business analysis and background research on customers, industries, and competitors.
• Lead strategy engagements with users to align to business priorities, design solutions and secure the technical win by performing in-depth customer discovery, evangelising the proposed solutions through executive briefings, readouts, presentations and solution demos. 
• Expand Stripe’s footprint within existing accounts to new global markets and business units by introducing new capabilities and local payment methods.
• Act as the “Voice of the Customer” to bring insights, trends and opportunities to the leadership, product and engineering teams from the forefront and prioritised for delivery.  
• Participate in sales forecasting, Quarterly Business Reviews and account/territory planning to strategically and tactically align for success.
• Act as a crucial part of the sales team, providing technical insight and solutions to prospective and existing platform users. Guide and provide technical expertise on Stripe and its benefits for both platforms and their customers.
• Showcase the capability of Stripe's platform in solving business problems, highlighting features, benefits, and potential customisations. This includes demonstrating how those benefits pass down to the customer's own user-base.
• Manage pre-sales projects, coordinating proof of concept development, and feasibility checks. Ensure all solutions proposed are viable, beneficial to our potential clients, and also accommodating to their customers.

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

• 4+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, or sales engineer, for a global software enterprise.
• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.
• Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities.
• Thorough understanding of the software development lifecycle and API architecture.
• Outstanding spoken and written communication skills, presentation skills, and confidence in explaining complex concepts to both technical and non-technical audiences.
• Develop a comprehensive understanding of Connect, Stripe's solution for enabling platform payments, exploring its various features, and integration methodologies.
• Gather an in-depth understanding of Stripe's Payments and Billing systems and their applicability across diverse business models to beneficially cater to individual clients' and their customers' needs.
• Ability to understand how a wide variety of applications such as ERP, CRM, Billing, Tax and legacy systems interact with each other in a platform technology stack/ecosystem. 
• Strong organisational and time management skills and the ability to juggle competing priorities while working with multiple strategic opportunities and customers.

Preferred Qualifications

• Experience as a customer facing, domain expert in the payments space, presenting, and architecting solutions for platform customers.
• Prior experience driving technical sales with top-tier enterprise scale platforms and supporting them and their customer’s unique requirements 
• Experience with integrating Stripe or other RESTful APIs into web applications.
• Experience in systems design, building and deploying complex applications.
• Experience in helping customers adopt and consume software in a cloud model.
• Passionate about learning and actively seeks out knowledge
• Ability to work independently and confidently to develop a path forward with customers under ambiguous circumstances.
• Strategic and creative thinker who can proactively identify challenges and maintain a positive approach when facing difficult obstacles.
• Strong collaboration skills to work seamlessly with extended teams to support our users.

Role overview

The International team is seeking a talented and driven Principal Software Development Engineer to join CarGurus' new Dublin office and lead exciting product initiatives for our Canadian and UK markets and play a key role in establishing the office’s culture.  In this role, you’ll be responsible for leading the full software development lifecycle – across both the frontend and backend – collaborating with Engineering and Product peers to design innovative solutions and tackle complex challenges for our dealer-facing products.

We are looking for candidates who are able to learn and adapt quickly, and collaborate with other engineers to deliver solutions. Some examples of potential project opportunities:

• Building new, full-stack features for dealer products from the ground up
• Integrating with existing services and expanding functionality using React, TypeScript, and Java
• Designing and implementing integrations with third-party APIs and partners, building applications with Remix.
• Modernizing and rearchitecting current systems to leverage cloud technologies like AWS

As a principal engineer on this team, you will own projects from conception to completion, working closely with other engineers and product partners, in Dublin and in the US, to deliver impactful solutions for the international business.

Success in this role requires a balance of deep technical expertise and strong business judgement to guide teams in making strategic technology decisions that align with both immediate and future product needs. You must quickly learn and adapt to new challenges, working closely with engineers and stakeholders to translate requirements into scalable solutions.  Car expertise is welcome but isn't required; what matters most is your passion for technology, your commitment to engineering excellence, and your drive to have a real impact.

What you'll do

• Work closely with engineers, product managers, and stakeholders across the company to refine new product requirements and transform them into effective technical solutions.
• Own the full development lifecycle from refining initial concepts and architecting advanced features as robust microservices and modern web applications (Java/React/TypeScript), to implementing and delivering practical, high-quality systems.
• Contribute to high standards of quality by ensuring code is reliable, performant, and well-tested, with automated tests across the testing pyramid that ensure strong production health of our systems.
• Promote a culture of observability and operation excellence by helping teams leverage metrics to diagnose, mitigate, and resolve challenging production issues across multiple services and boost operational excellence.
• Use AI technologies, optimizing the software development process and driving greater efficiency across teams.
• Mentor engineers by offering guidance, actionable feedback, and insightful recommendations to support sound technical decision-making in the new Dublin hub.

What you'll bring

• 8+ years of experience as a professional Software Engineer, including 3+ years serving as a technical lead or principal engineer.
• Deep full-stack expertise working with Java and TypeScript (or similar languages) and frameworks such as Spring Boot, Hibernate, and React.
• 5+ years of experience designing, building, deploying, scaling, testing, and evolving distributed systems using service-oriented architecture in 24/7 production environments.
• 2+ years of experience using cloud infrastructure technologies such as AWS, Terraform or similar cloud services.
• Hands-on experience working with both relational and NoSQL databases, applying the right data models to diverse needs.
• Experience in operating and troubleshooting production systems.
• Outstanding written and verbal communication abilities, with a demonstrated talent for translating technical concepts for both engineering and business audiences.
• Consistent record of being self-motivated, resourceful, and proactive in driving projects and business goals.
• An aptitude for leveraging AI tools such as Claude Code, Cursor, or similar to enhance software development and operational efficiency. Additional hands-on experience with LLMs is a huge plus.
• Bonus: Deep experience with server-side TypeScript and modern isomorphic frameworks (especially Remix, though Next.js or Express are also highly valued).

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.

Team Overview:

The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software.

Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly.

This role is for software engineers who enjoy turning real-world problems into reliable, scalable solutions. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day.

How You’ll Make an Impact:

The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As an AI Software Engineer II on Amplify, you will:

• Design, build, and maintain internal products and platforms, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams. You will own features and small-to-medium projects end to end, from design through deployment and iteration.
• Deliver project work with increasing autonomy and scope. You will break down problems into actionable pieces, refine requirements with your team, and collaborate to ship high-quality solutions that meet reliability and performance expectations.
• Work closely with internal customers to understand their workflows and constraints, and translate operational challenges into pragmatic, maintainable software and AI-enabled tools that improve productivity and reliability.
• Contribute to the technical and architectural evolution of Amplify’s systems by participating in design discussions, proposing improvements, and helping ensure our platforms remain scalable, observable, and reliable as usage grows.
• Take responsibility for the quality and operational health of the code you ship, including testing, deployment, monitoring, debugging issues in development and production, and participating in on-call rotations for the systems your team owns.
• Use modern AI tools as part of your day-to-day engineering workflow, including for coding, testing, documentation, and experimentation, and share learnings to help the team continuously improve how it works with AI.
• Help improve the developer experience and engineering practices on Amplify by contributing to tooling, CI/CD, automation, tests, and shared utilities that support consistent, high-quality delivery.
• Collaborate closely with Product, Design, Data, and operational partners, contributing to discovery, evaluating trade-offs, and ensuring the work you deliver is tied to clear success criteria and business outcomes.

Who You Are:

• You care about building software for the long term, balancing technical quality, delivery pace, and business impact.
• You have strong hands-on experience building and operating full-stack or backend-focused software systems, including SaaS products, platforms, or internal tools.
• You can take a well-defined feature or small-to-medium project from design through implementation, testing, rollout, and ongoing maintenance, seeking input when needed and moving work forward independently.
• You are comfortable questioning and refining requirements, working with product managers and stakeholders to clarify scope, identify edge cases, and propose pragmatic solutions.
• You have experience in at least one area of modern web engineering such as backend services, data pipelines, internal tools, integrations, or AI-enabled workflows, and understand how to build secure, scalable, and maintainable systems.
• You are comfortable using AI-powered tools to support your development workflow and are interested in continuing to grow your AI skills over time.
• You care about operational excellence and are comfortable debugging issues, improving tests, adding logging and metrics, and working within reliability goals.
• You are a clear communicator and collaborative teammate, contributing thoughtfully to technical discussions, writing clear tickets or lightweight design docs, and keeping others informed on progress and risks.
• You enjoy working in small, autonomous, agile teams, shipping iteratively, and partnering closely with product managers and other engineers to deliver meaningful outcomes.
• You are motivated to continuously improve how things work, whether that is tooling, workflows, architecture, or team practices.

Nice to Have:

• Experience building internal tools, platforms, or automations for developers and/or non-technical stakeholders, with a track record of improving reliability, productivity, or operational efficiency.
• Hands-on experience in full-stack environments, including diagnosing and improving application performance, database queries, and complex, multi-service workflows.
• Practical experience building or integrating AI-powered systems and agents; e.g., workflows using LLM APIs/SDKs, agentic or automated workflows, RAG pipelines, or evaluation/monitoring frameworks.
• Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI
• Typescript / React
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model:

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Team Overview:

The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software.

Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly.

This role is for lead engineers who enjoy turning real-world problems into reliable, scalable solutions. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day.

How You’ll Make an Impact:

The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As a Lead AI Software Engineer on Amplify, you will:

• Provide technical oversight and direction for a portfolio of Amplify systems, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams. You will help ensure they are reliable, scalable, secure, and straightforward to evolve.
• Formulate and drive a forward-looking technical vision for key Amplify domains in partnership with your Engineering Manager, Product, Data, and cross-functional stakeholders, aligning that vision with our AI-first strategy and the business outcomes we are accountable for.
• Lead the end to end lifecycle of complex, multi component projects and platforms that span multiple internal customers and engineering teams, from discovery and technical design through implementation, rollout, and long term ownership.
• Act as the primary technical interface between your areas of ownership in Amplify and the rest of engineering, helping clarify requirements, reduce technical ambiguity and risk, and ensure the team delivers roadmap and OKR commitments on time with the right quality bar.
• Take responsibility for the technical and architectural evolution of multiple significant domains within Amplify, anticipating scalability, reliability, security, and observability needs as usage grows and new use cases emerge.
• Define, refine, and uphold operational standards for the systems you and your team own, including SLOs, monitoring and alerting, incident response practices, and post incident learning that continually improves our operational excellence.
• Create, teach, and improve shared engineering processes, patterns, and internal platforms that make it easier for Amplify and other teams across Klaviyo to build high quality internal tools and AI-powered systems consistently.
• Use modern AI tools as part of your day-to-day engineering workflow and help the team adopt AI effectively, from design and coding through testing, documentation, and evaluation. You will help establish sensible guardrails, evaluation practices, and patterns for AI-first development.
• Work through influence and delegation to get work done, setting clear technical direction, breaking down projects into actionable workstreams, and enabling other engineers to deliver successfully.
• Mentor and coach other engineers across levels through design reviews, pairing, and thoughtful feedback. You will help grow future technical leaders, raise the technical bar for the team, and ensure knowledge is shared rather than concentrated.
• Collaborate closely with Product, Design, Data, and operational partners to define problems, shape trade offs, and agree on success metrics, ensuring Amplify’s work focuses on the highest value opportunities and that outcomes are clearly measured.
• Represent Amplify’s systems and strategy in broader engineering forums, contributing to architectural discussions, technical RFCs, and cross team initiatives, and helping ensure our internal platforms fit well into the wider Klaviyo ecosystem.

Who You Are:

• You care deeply about building software and platforms for the long term, balancing technical quality, delivery pace, and measurable business impact, and you are comfortable making and explaining trade offs at that intersection.
• You have strong hands on experience building and operating highly available, full stack or backend focused SaaS systems, and have been responsible for the health and evolution of multiple services or product areas, not just a single application.
• You have led delivery of business critical projects that span multiple engineers and months, including discovery, technical design, implementation, rollout, and ongoing maintenance. You are comfortable scrutinising requirements, reducing ambiguity, and setting technical direction for others.
• You have deep expertise in several areas of modern web engineering such as backend services, data pipelines, internal platforms, or AI enabled systems, and a strong understanding of scalable, multi-tenant architectures and the operational realities of running them in production.
• You regularly use AI powered tools in your development workflow and are interested in shaping how a team or organisation uses AI thoughtfully to improve engineering productivity, system capabilities, and internal customer experiences.
• You take ownership of operational excellence for the systems you and your team build, including performance, reliability, observability, and on-call participation where required. You are comfortable defining and maintaining SLOs and holding systems to them.
• You are effective at working through influence and delegation. You know when to keep a task for yourself and when to hand it to others, and you enjoy creating the clarity, patterns, and guardrails that let other engineers move quickly and safely.
• You enjoy questioning convention and continuously improving how things work, whether that is architecture, tooling, workflows, or team processes, and you are comfortable introducing change in a way that brings people along with you.
• You are a clear communicator and collaborative teammate, comfortable leading technical discussions, writing design docs or RFCs, and keeping stakeholders aligned from early discovery through delivery and follow up.
• You enjoy working in small, autonomous, agile teams, shipping incrementally, and partnering closely with product managers, data partners, and other engineers to deliver better outcomes for internal customers.

Nice to Have:

• Experience building internal tools, platforms, or automations for developers and or non technical stakeholders, with a track record of improving reliability, productivity, or operational efficiency across multiple teams.
• Experience providing technical leadership across several related systems or domains, including defining technical vision, setting design patterns, and aligning multiple teams on shared approaches.
• Practical experience building or integrating AI powered systems and agents such as workflows using LLM APIs or SDKs, agentic or automated workflows, retrieval augmented generation pipelines, or evaluation and monitoring frameworks for AI systems.
• Experience working with cloud infrastructure (AWS preferred), infrastructure as code (Terraform), and containerised environments (Kubernetes), and designing services that run reliably at scale in those environments.
• Experience partnering closely with customer service & support, go to market, or operations teams to understand complex workflows and build internal tools that drive measurable efficiency gains.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI
• Typescript / React
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

#indeedDUB

Team Overview:

The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well-designed software.

Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly.

This role is for senior engineers who enjoy turning real-world problems into reliable, scalable solutions. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day.

How You’ll Make an Impact:

The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As a Senior AI Software Engineer on Amplify, you will:

• Design, build, and own complex internal products and platforms, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams.
• Lead the end-to-end lifecycle of projects and features – from discovery and technical design through implementation, rollout, and long-term ownership.
• Partner closely with internal customers to understand their workflows and constraints, and translate real operational challenges into scalable, maintainable solutions that measurably improve productivity, quality, and reliability.
• Take ownership of the technical and architectural evolution of parts of the Amplify platform, anticipating scalability, reliability, and observability needs as usage grows.
• Define and maintain operational standards for the systems you own, including SLOs, monitoring, incident response, and follow-up on root-cause analysis.
• Use modern AI tools as part of your day-to-day engineering workflow (e.g. LLM-based tooling for design, coding, testing, and documentation), and help shape best practices for how the team applies AI responsibly and effectively.
• Contribute to shared patterns, tooling, and processes that make it easier for teams across Klaviyo to build high-quality internal tools and AI-powered systems consistently.
• Mentor and support other engineers through design reviews, pairing, and constructive feedback, leaving the codebase and systems better than you found them.
• Collaborate closely with Product, Design, Data, and operational partners to define requirements, trade-offs, and success metrics, ensuring Amplify’s work focuses on the highest-value problems.

Who You Are:

• You care deeply about building software for the long term, balancing technical quality, delivery pace, and business impact.
• You have strong hands-on experience building and operating highly available, full-stack SaaS systems, and are comfortable owning complex problems end to end.
• You’ve led the delivery of significant projects or features independently, including discovery, technical design, implementation, rollout, and ongoing maintenance, and you’re comfortable providing technical direction to others.
• You have deep expertise in one or more areas of modern web engineering (e.g. backend services, data pipelines, internal platforms, or AI-enabled systems) and a solid understanding of scalable, multi-tenant architectures.
• You regularly use AI-powered tools in your development workflow and are curious about applying AI thoughtfully to improve engineering productivity and system capabilities.
• You take ownership of operational excellence for the systems you build, including performance, reliability, observability, and on-call participation where required.
• You enjoy questioning convention and continuously improving how things work, whether that’s architecture, tooling, workflows, or team practices.
• You are a clear communicator and collaborative teammate, comfortable leading technical discussions, writing design docs or RFCs, and keeping stakeholders aligned.
• You enjoy working in small, autonomous, agile teams, shipping incrementally, and partnering closely with product managers and other engineers to deliver better outcomes.

Nice to have:

• Experience building internal tools, platforms, or automations for developers and/or non-technical stakeholders, with a track record of improving reliability, productivity, or operational efficiency.
• Hands-on experience in full-stack environments, including diagnosing and improving application performance, database queries, and complex, multi-service workflows.
• Practical experience building or integrating AI-powered systems and agents; e.g., workflows using LLM APIs/SDKs, agentic or automated workflows, RAG pipelines, or evaluation/monitoring frameworks.
• Experience working with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerised environments (Kubernetes), and designing services that run reliably at scale.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI
• Typescript / React
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model:

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

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

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.

A bit about the team

Every restaurant is different and faces its own unique challenges. Across global markets, these challenges vary significantly. The mission of the Europe team is to tackle these challenges head-on by building purpose-built products that meet the complex needs of the Europe customer base. This includes deepening the product experience with our existing European customers and also adapting our product for future market growth. 

To meet these goals it involves building brand new products and features that integrate seamlessly into the existing Toast product suite. As a Principal Engineer on the team, you will set the technical direction for how we rapidly build iterative solutions within the existing Toast technology stack—all while maintaining excellent quality and architecting for long-term scale.

As a Principal Engineer, you are expected to be closely aligned with engineering leaders across Toast. You will define and promote architectural best practices, champion new technologies and innovative thinking, and serve as a technical thought leader for the broader organization. You will be responsible for mentoring and upskilling the engineering teams around you.

If you're motivated by solving problems at the intersection of customer needs and technical challenges, and eager to leave a lasting mark on Toast’s future growth, this role offers a rare opportunity to do so.

A day in the life (Responsibilities) 

• Develop and execute technical strategies to solve complex business challenges, leveraging data and customer insights  to prioritize impactful improvements
• Establish guiding technical and delivery principles that influence engineering practices across the broader engineering organization.
• Mentor and guide engineers, fostering a culture of continuous improvement, inclusivity, and engineering excellence.
• Build and maintain strong partnerships across lines of business, aligning technical solutions with strategic objectives.
• Work closely with our cross functional leaders across the customer facing organisations

What you'll need to thrive (Requirements)

• 8+ years of experience in software engineering, with a strong background in full-stack development is essential.
• Extensive experience with Java, Kotlin, or other object-oriented languages, and experience building complex, customer-facing applications is a must
• Strong skills with modern web and API standards and technologies (e.g. React, REST, GraphQL), delivering cohesive end-to-end experiences from UI through services.
• You must have experience leading or influencing large, cross-team platform initiatives, setting technical direction beyond a single team or service.
• Proficient with data stores, both relational and non-relational databases.
• Demonstrated ability to deliver and operate business-critical, customer-facing systems, with a strong focus on reliability, performance, and operational excellence.
• Demonstrated ability to deliver high-impact, scalable solutions, balancing platform leverage with end-to-end user experience.
• Strong leadership and mentoring skills, with a track record of guiding teams through architectural and experience transformations.
• Excellent communication skills and a passion for engineering excellence, including collaborating closely with product, design, and operations to improve customer outcomes.
• Passionate about driving innovation and continuously improving engineering practices.

What will make you stand out (Nice to Have)

• Deep expertise in pricing systems or e-commerce tax management for international markets
• Track record of launching zero-to-one products within established organizations
• Experience operating in both larger tech organizations and startup environments, with demonstrated ability to thrive at enterprise scale

**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.

Role overview

The International team is seeking a talented and driven Software Development Engineer to join CarGurus' new Dublin office and work on exciting product initiatives for our Canadian and UK markets and play a key role in establishing the office’s culture.  In this role, you’ll be responsible for the full software development lifecycle – across both the frontend and backend – collaborating with Engineering and Product peers to design innovative solutions and tackle complex challenges for our dealer-facing products.

We are looking for candidates who are able to learn and adapt quickly, and collaborate with other engineers to deliver solutions. Some examples of potential project opportunities:

• Building new, full-stack features for dealer products from the ground up
• Integrating with existing services and expanding functionality using React, TypeScript, and Java
• Implementing integrations with third-party APIs and partners

As an engineer on this team, you will drive projects from conception to completion, working closely with other engineers and product partners to deliver impactful solutions for the international business. No need to be a car expert—we’re more interested in your passion for engineering and your ability to innovate!

What you'll do

• Collaborate with engineers and product managers across the organization to understand and solve new product requirements and tackle technical challenges.
• Help establish and grow CarGurus' Dublin engineering presence by contributing to team culture, practices, and standards.
• Work with Java, Spring Boot, React, TypeScript, AWS, and other modern technologies to build 2-sided marketplace products.
• Be deeply engaged in the full development lifecycle: designing, developing, testing, automated testing, deploying, maintaining, monitoring, and alerting.
• Play a critical role in implementing a design and service-oriented architecture for CarGurus International products.

What you'll bring

• 2-3 years of software design and development experience, including strong OOP, Java, and Spring experience.
• Solid hands-on experience building dynamic, responsive user interfaces using React and TypeScript.
• A strong understanding of data structures, algorithms, and complexity analysis.
• Ability to write clean, well-tested, and efficient code that passes through code review with minimal comments. Additionally, provide high-quality code review guidance for others.
• Comfortable writing unit tests, investigating issues, and using observability tools to understand system health & performance.
• Self-led and motivated to proactively find answers and resolve blockers.
• Proactive communicator who raises questions, blockers, and continuous updates.
• Some hands-on experience with relational database systems.
• Knowledge of various design patterns and experience implementing them.
• Eagerness to learn and expand your capabilities through contribution and owning projects.
• Some experience with service-oriented architecture and distributed systems.
• Bonus: Experience with server-side TypeScript (especially Remix, though Next.js or Express are also great additions).

Role overview

The International team is seeking a talented and driven Senior Software Development Engineer to join CarGurus' new Dublin office and work on exciting product initiatives for our Canadian and UK markets and play a key role in establishing the office’s culture.  In this role, you’ll be responsible for the full software development lifecycle – across both the frontend and backend – collaborating with Engineering and Product peers to design innovative solutions and tackle complex challenges for our dealer-facing products.

We are looking for candidates who are able to learn and adapt quickly, and collaborate with other engineers to deliver solutions. Some examples of potential project opportunities:

• Building new, full-stack features for dealer products from the ground up
• Integrating with existing services and expanding functionality using React, TypeScript, and Java
• Designing and implementing integrations with third-party APIs and partners
• Modernizing and implementing current systems to leverage cloud technologies like AWS

As an engineer on this team, you will drive projects from conception to completion, working closely with other engineers and product partners to deliver impactful solutions for the international business. No need to be a car expert—we’re more interested in your passion for engineering and your ability to innovate!

What you'll do

• Design, develop, and maintain scalable full-stack features and APIs using Java, React, and TypeScript that support our international dealer products.
• Collaborate closely with product managers, designers, and other engineers across the organization to deliver and iterate on high-quality software solutions for our Canadian and UK markets.
• Contribute to technical design discussions and architectural decisions.
• Own services from ideation through deployment and ongoing maintenance in production environments.
• Ensure systems are secure, maintainable, and highly available, following best practices in performance optimization and code quality.
• Troubleshoot and resolve complex production issues, using observability tools to understand system health and performance.
• Mentor junior engineers, provide high-quality code review guidance, and contribute to establishing the team processes and engineering standards for the new Dublin office.

What you'll bring

• 5+ years of experience in full-stack software development.
• Deep expertise in Java (Spring Boot, Hibernate, or similar frameworks).
• Solid, production-grade experience building dynamic, responsive user interfaces using React and TypeScript.
• Experience designing and building RESTful APIs, microservices, and distributed systems. Experience with GraphQL.
• Strong knowledge of databases (SQL and NoSQL), caching, and data structures.
• Familiarity with cloud platforms such as AWS, GCP, or Azure, and some experience with containerization (Docker, Kubernetes).
• Understanding of CI/CD pipelines, automated testing, monitoring, and production service management.
• Excellent problem-solving, communication, and collaboration skills with the ability to move quickly and thrive in an iterative, fast-paced environment.
• Eagerness to learn and expand your capabilities through leading and owning projects.
• Bonus: Experience with server-side TypeScript (especially Remix, though Next.js or Express are also great additions).

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.

Lead Software Engineer, Reliability (Dublin)

Team Overview

As a Lead Software Engineer, Reliability, you will set technical direction and lead reliability strategy for Klaviyo’s most critical platforms. You’ll ensure our systems are reliable, scalable, and sustainable while enabling rapid product development across the company.

We treat reliability as a core product feature. Our work spans security, infrastructure, and software engineering, requiring deep systems thinking and strong technical leadership. We build foundational services that must be extremely reliable, secure, and performant at global scale.

The SRE team’s charter is to design, build, and operate foundational infrastructure and services, define reliability standards, reduce operational toil through automation, and continuously improve systems based on production learnings. As a lead, your work will be highly visible and will directly influence how Klaviyo builds software and how customers experience our platform every day.

How you’ll make an impact

As a Lead Software Engineer, Reliability, you will provide technical leadership while remaining hands-on with the systems that underpin Klaviyo’s reliability and operational excellence. You will:

• Set the technical vision and long-term strategy for reliability, availability, and operational excellence across critical platforms
• Lead the design, implementation, and evolution of foundational, security-critical services with strong guarantees around availability, scalability, latency, and fault tolerance
• Drive adoption of SRE best practices across engineering teams, including SLIs, SLOs, error budgets, and reliability-based decision making
• Identify systemic reliability risks and architectural bottlenecks, and lead cross-team initiatives to address them with durable, preventative solutions
• Apply software engineering principles to automate infrastructure, eliminate operational toil, and improve system reliability at scale
• Own and continuously improve observability, alerting, and incident response practices to reduce mean time to detection and recovery
• Guide on-call strategy and operational processes to ensure sustainability, automation, and healthy operational load
• Perform and lead quantitative analysis around system behavior, capacity planning, scaling limits, and performance characteristics
• Partner closely with product, platform, and security leaders to influence system architecture early and ensure reliability is built in from the start
• Lead incident response for high-severity events, driving effective mitigation, communication, and follow-up
• Mentor senior and mid-level engineers, raising the bar for technical quality, operational maturity, and reliability culture across the organization
• Review and influence technical designs, platform APIs, operational runbooks, and system documentation at an organizational level
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Who you are

You are a senior technical leader who combines deep systems expertise with strong judgment and influence. You:

• Are a cloud-native, platform-focused SRE who uses software to design and operate highly reliable production systems at scale
• Write and maintain production-quality code (e.g. Python, Go, or similar) to build internal platforms, automate operations, and improve system reliability
• Have led the design and operation of distributed, cloud-native systems and deeply understand failure modes such as partial outages, dependency failures, resource saturation, and cascading impact
• Have extensive experience operating containerized workloads and platforms (e.g. Kubernetes) in production, including deployment strategies, scaling behavior, and service networking
• Are comfortable owning on-call strategy and participating in escalation for complex production incidents
• Have designed and evolved observability platforms and alerting strategies that reflect real customer and service impact
• Apply SRE concepts such as SLIs, SLOs, error budgets, and burn-rate–based alerting to guide engineering priorities and trade-offs at a team or org level
• Have strong hands-on experience with infrastructure as code and declarative configuration (e.g. Terraform, Kubernetes manifests, policy-as-code)
• Have led capacity planning, load testing, and performance analysis efforts for large-scale distributed systems
• Drive high-quality post-incident reviews and ensure concrete, code-focused follow-up actions are delivered and sustained
• Are comfortable leading technical discussions, influencing architecture, and providing clear guidance across multiple teams

Nice to have

• Experience leading or supporting critical platforms or internal tooling
• Familiarity with identity, access management, secrets management, or policy enforcement systems
• Experience operating systems at scale in cloud environments (AWS preferred)
• Background in resilience testing, fault injection, or chaos engineering
• Strong understanding of algorithms and data structures as they apply to large-scale systems

Tech Stack

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack.

Core technologies include:

• Python / Django / FastAPI
• MySQL / Redis / Memcached
• RabbitMQ / Celery / Apache Kafka / Apache Pulsar
• AWS / Terraform / Kubernetes

Location & Work Model

This role is based in Dublin, Ireland and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here