About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

We’re a mid-sized, globally distributed B2B SaaS company empowering organizations with innovative digital solutions. With a strong product-led culture and international customer base, we’re scaling rapidly—and we’re looking for a Senior Product Operations Manager to bring structure, clarity, and strategic visibility to our growing product organization.

What to Expect

• Drive operational excellence by optimizing product development workflows, team rituals, and cross-functional coordination
• Lead program execution for complex product operations initiatives, ensuring alignment with company objectives and timely delivery
• Improve tooling and automation by identifying, implementing, and maintaining systems that streamline workflows and reduce manual effort
• Analyze reporting and metrics to generate insights and partner with Business Analysts on improvement initiatives
• Manage risks and dependencies by proactively identifying roadblocks and driving resolution across teams
• Develop training and enablement resources, including documentation and onboarding materials for product teams
• Facilitate cross-functional communication across product, design, engineering, marketing, and customer success
• Advocate for product operations to increase alignment, transparency, and collaboration across the organization
• Collaborate globally with distributed teams across time zones and cultural contexts
• Step into a high-impact, visible role within a growing SaaS organization
• Join a collaborative, empowered product team with a strong global culture
• Remote work

What You Need to Be Successful

• 5+ years of experience in Product Operations, Program Management, or a similar role, ideally in a B2B SaaS company
• Proven track record of leading and scaling operational processes in cross-functional product organizations
• Experience with tools such as Jira, Confluence, Asana, and Coupa, plus data/reporting platforms (e.g., Looker, Tableau, Google Sheets)
• Strong analytical skills with the ability to define and track operational KPIs
• Systems-thinking mindset with strong organizational skills, attention to detail, and strategic perspective
• Excellent communication and stakeholder management skills, with the ability to influence across all levels
• Experience working with globally distributed teams
• Familiarity with change management practices
• Exposure to technical domains (e.g., automation, AI/ML, personalization, analytics) is a plus

What’s in It for You

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive stock options to share in the success of our company
• Comprehensive healthcare (health/dental/vision) coverage for you and your dependents
• Fertility and family-building benefits to support your growing family
• Generous paid time off, including vacation days, sick days, education days, compassion days, and volunteer days
• Time off to care for and focus on your growing family
• Annual education budget to support your career growth
• Access to virtual and in-person events, workshops, and team activities for learning and networking
• Wellbeing stipend to support your physical, financial, and emotional health
• Monthly communication (phone/internet) stipend and hardware reimbursement
• New hire office equipment stipend to help you work at your best  

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

About the opportunity

We are looking for a Director of Product Management to lead our Optimization teams, managing a suite of products and services spanning analytics, personalization, and experimentation.

This is a hands-on product leadership role for someone who is equally strong in strategy, product craft, and team leadership. You will lead a lean team of product managers while staying directly involved in the most important product questions and decisions across the area. In close partnership with Engineering and Design leadership, you will shape the vision, strategy, and execution for a product surface that helps customers understand performance, deliver more relevant experiences, and continuously improve outcomes.

This is your opportunity to play a key role in shaping how digital teams measure and grow the impact of their content in a fast-evolving, AI-driven market. 

What to expect

• Lead, mentor, and grow a team of product managers; provide regular feedback, support career development, and help the team excel in product discovery & delivery.
• Own the product direction for the Optimization area across analytics, personalization, experimentation, and platform capabilities.
• Integrate AI and extensible platform capabilities into the product strategy to unlock automation, insight generation, and content performance optimization at scale.
• Lead cross-functional teams, driving product vision, and executing product roadmaps in a fast-paced, agile environment.
• Work closely with Engineering and Design leadership to define strategy, align priorities, and drive execution across a broad and technically complex product surface.
• Manage and collaborate with stakeholders in Marketing, Customer Success, and Sales to ensure alignment across the full customer journey for our personas.
• Conduct market research and collaborate with customers to capture requirements, gather feedback, and continuously refine the product vision.
• Champion best practices in product management, including agile methodologies, data-driven decision making, and experimentation.
• Drive clarity across multiple workstreams, balancing short-term delivery needs with longer-term strategic bets.
• Help define scope and success criteria for initiatives, and support Product Managers in identifying key trade-offs and driving high-impact decisions within cross-functional teams.
• Contribute to a PM culture that shares user insights, learnings, and research findings early, often, and well.

What you need to be successful

• Experience as a Group Product Manager or Director leading multiple teams in a B2B SaaS context (ideally on a data-focused product).
• Track record of setting product strategy, managing roadmaps, and delivering outcomes across platform and user-facing layers.
• Strong hands-on product leadership: you are comfortable personally driving discovery, defining strategy, making trade-offs, and stepping into execution details when needed.
• Own the definition and execution of group-level goals aligned with company priorities and long-term product vision.
• Proven track record in building and scaling data platforms and API-first products, with the ability to drive innovation and adoption.
• Strong product and technical judgment, with the ability to work effectively across engineering, data, design, and business stakeholders.
• Demonstrated ability to understand new technologies in depth and eagerness to learn about the wide range of technologies with which Contentful integrates.
• Meaningful people leadership experience, including coaching and developing Product Managers and helping teams improve their product craft and impact.
• Strong collaboration and communication skills, with comfort working across product, design, engineering, marketing, and field teams.
• You demonstrate grit and a willingness to dive into the details, taking a hands-on approach to solving product challenges and driving execution.
• Background in AI/ML, CRO, analytics, personalization, or content management domains is a plus.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Role Overview

What You’ll Do

• Identify and pattern match high-value opportunities for AI across the product
• Define what AI should do—and just as importantly, what it should not do, making hard or unpopular calls when needed
• Set clear boundaries for autonomy vs human control

• Architect AI-driven workflows and agentic systems that operate across real-world scenarios and over time, including multi-step and agent-to-agent interactions
• Establish decision frameworks: when systems should act, ask, escalate, or defer
• Design for uncertainty, failures, and edge cases as core system behavior
• Develop and apply design principles and heuristics to shape how AI systems behave and make decisions
• Ensure systems remain coherent and predictable, even as complexity scales

• Design experiences for users who are increasingly managing AI systems and agents
• Design how AI integrates into real user workflows, not just isolated interactions
• Define the role of the human in the loop: where users guide, review, or override
• Ensure users can understand, trust, and recover from system failures
• Partner with product designers to continuously shape and adapt the product experience as underlying systems evolve

• Define what “good” looks like (e.g. trust, accuracy, effort reduction, and whether outputs are structured and usable in context)
• Design evaluation scenarios and feedback loops
• Analyze outputs to identify failure modes and system weaknesses
• Design for reliability at the system level, preventing agentic breakdowns

How You’ll Work

• Shape direction from the earliest stages of zero-to-one problems
• Influence across teams without formal authority
• Operate in a highly autonomous, fast-moving environment with evolving constraints
• Lead ambiguous, in-flight work—making calls on when to adapt the product vs. push on system improvements as things evolve
• Act as a bridge between AI research, technical capabilities, and user needs
• Collaborate deeply with ML scientists, PMs, and product designers
• Prototype and run focused experiments that isolate variables and generate clear insights
• Stay close to system behavior by regularly reviewing outputs and raising the bar on quality

What We’re Looking For

• Strong product judgment—you consistently make high-quality calls on what to build and why
• Ability to influence without authority
• Experience working on zero-to-one products and comfort operating through ambiguity and rapid change
• Deep understanding of LLMs and their limitations, along with a grounding in traditional ML approaches and when to use them instead
• Experience defining design principles, heuristics, or evaluation criteria for AI systems
• High standards for quality, with a track record of identifying where AI systems break down in real-world use
• A scientific mindset—you can design experiments that isolate variables and produce meaningful insights
• Systems thinker: you’re happier designing behaviors and flows than polishing interfaces
• We’re open to non-traditional backgrounds (e.g. product managers, engineers, or others) if you have strong product sense and a track record of representing user needs in technical systems

What This Role Is Not

• You will not be training models or building ML infrastructure
• You will not be responsible for backend architecture or performance optimization
• You will only occasionally design UI—this is not the focus of the role

Why This Role Is Compelling

• You’ll join a mature AI discipline operating at the frontier. Intercom already has an established AI Design team and strong cross-functional understanding of this role, so you can focus on building rather than justifying your value.
• You won’t be “adding AI to a product.” The quality of our AI is the quality of our product. This is a technical, hands-on role where you have the satisfaction of working with tight feedback loops.
• You’ll shape product direction, not just execution. You’ll operate upstream in a high-autonomy environment with real ownership over outcomes.

Benefits

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

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends, and family!

#LI-Hybrid

Role Overview

What You’ll Do

• Identify and pattern match high-value opportunities for AI across the product
• Define what AI should do—and just as importantly, what it should not do, making hard or unpopular calls when needed
• Set clear boundaries for autonomy vs human control

• Architect AI-driven workflows and agentic systems that operate across real-world scenarios and over time, including multi-step and agent-to-agent interactions
• Establish decision frameworks: when systems should act, ask, escalate, or defer
• Design for uncertainty, failures, and edge cases as core system behavior
• Develop and apply design principles and heuristics to shape how AI systems behave and make decisions
• Ensure systems remain coherent and predictable, even as complexity scales

• Design experiences for users who are increasingly managing AI systems and agents
• Design how AI integrates into real user workflows, not just isolated interactions
• Define the role of the human in the loop: where users guide, review, or override
• Ensure users can understand, trust, and recover from system failures
• Partner with product designers to continuously shape and adapt the product experience as underlying systems evolve

• Define what “good” looks like (e.g. trust, accuracy, effort reduction, and whether outputs are structured and usable in context)
• Design evaluation scenarios and feedback loops
• Analyse outputs to identify failure modes and system weaknesses
• Design for reliability at the system level, preventing agentic breakdowns

How You’ll Work

• Shape direction from the earliest stages of zero-to-one problems
• Influence across teams without formal authority
• Operate in a highly autonomous, fast-moving environment with evolving constraints
• Lead ambiguous, in-flight work—making calls on when to adapt the product vs. push on system improvements as things evolve
• Act as a bridge between AI research, technical capabilities, and user needs
• Collaborate deeply with ML scientists, PMs, and product designers
• Prototype and run focused experiments that isolate variables and generate clear insights
• Stay close to system behaviour by regularly reviewing outputs and raising the bar on quality

What We’re Looking For

• Strong product judgment—you consistently make high-quality calls on what to build and why
• Ability to influence without authority
• Experience working on zero-to-one products and comfort operating through ambiguity and rapid change
• Deep understanding of LLMs and their limitations, along with a grounding in traditional ML approaches and when to use them instead
• Experience defining design principles, heuristics, or evaluation criteria for AI systems
• High standards for quality, with a track record of identifying where AI systems break down in real-world use
• A scientific mindset—you can design experiments that isolate variables and produce meaningful insights
• Systems thinker: you’re happier designing behaviours and flows than polishing interfaces
• We’re open to non-traditional backgrounds (e.g. product managers, engineers, or others) if you have strong product sense and a track record of representing user needs in technical systems

What This Role Is Not

• You will not be training models or building ML infrastructure
• You will not be responsible for backend architecture or performance optimisation
• You will only occasionally design UI—this is not the focus of the role

Why This Role Is Compelling

• You’ll join a mature AI discipline operating at the frontier. Intercom already has an established AI Design team and strong cross-functional understanding of this role, so you can focus on building rather than justifying your value.
• You won’t be “adding AI to a product.” The quality of our AI is the quality of our product. This is a technical, hands-on role where you have the satisfaction of working with tight feedback loops.
• You’ll shape product direction, not just execution. You’ll operate upstream in a high-autonomy environment with real ownership over outcomes.

Benefits

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

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

#LI-Hybrid

Role Overview

What You’ll Do

• Identify and pattern match high-value opportunities for AI across the product
• Define what AI should do—and just as importantly, what it should not do, making hard or unpopular calls when needed
• Set clear boundaries for autonomy vs human control

• Architect AI-driven workflows and agentic systems that operate across real-world scenarios and over time, including multi-step and agent-to-agent interactions
• Establish decision frameworks: when systems should act, ask, escalate, or defer
• Design for uncertainty, failures, and edge cases as core system behavior
• Develop and apply design principles and heuristics to shape how AI systems behave and make decisions
• Ensure systems remain coherent and predictable, even as complexity scales

• Design experiences for users who are increasingly managing AI systems and agents
• Design how AI integrates into real user workflows, not just isolated interactions
• Define the role of the human in the loop: where users guide, review, or override
• Ensure users can understand, trust, and recover from system failures
• Partner with product designers to continuously shape and adapt the product experience as underlying systems evolve

• Define what “good” looks like (e.g. trust, accuracy, effort reduction, and whether outputs are structured and usable in context)
• Design evaluation scenarios and feedback loops
• Analyze outputs to identify failure modes and system weaknesses
• Design for reliability at the system level, preventing agentic breakdowns

How You’ll Work

• Shape direction from the earliest stages of zero-to-one problems
• Influence across teams without formal authority
• Operate in a highly autonomous, fast-moving environment with evolving constraints
• Lead ambiguous, in-flight work—making calls on when to adapt the product vs. push on system improvements as things evolve
• Act as a bridge between AI research, technical capabilities, and user needs
• Collaborate deeply with ML scientists, PMs, and product designers
• Prototype and run focused experiments that isolate variables and generate clear insights
• Stay close to system behavior by regularly reviewing outputs and raising the bar on quality

What We’re Looking For

• Strong product judgment—you consistently make high-quality calls on what to build and why
• Ability to influence without authority
• Experience working on zero-to-one products and comfort operating through ambiguity and rapid change
• Deep understanding of LLMs and their limitations, along with a grounding in traditional ML approaches and when to use them instead
• Experience defining design principles, heuristics, or evaluation criteria for AI systems
• High standards for quality, with a track record of identifying where AI systems break down in real-world use
• A scientific mindset—you can design experiments that isolate variables and produce meaningful insights
• Systems thinker: you’re happier designing behaviors and flows than polishing interfaces
• We’re open to non-traditional backgrounds (e.g. product managers, engineers, or others) if you have strong product sense and a track record of representing user needs in technical systems

What This Role Is Not

• You will not be training models or building ML infrastructure
• You will not be responsible for backend architecture or performance optimization
• You will only occasionally design UI—this is not the focus of the role

Why This Role Is Compelling

• You’ll join a mature AI discipline operating at the frontier. Intercom already has an established AI Design team and strong cross-functional understanding of this role, so you can focus on building rather than justifying your value.
• You won’t be “adding AI to a product.” The quality of our AI is the quality of our product. This is a technical, hands-on role where you have the satisfaction of working with tight feedback loops.
• You’ll shape product direction, not just execution. You’ll operate upstream in a high-autonomy environment with real ownership over outcomes.

Benefits

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

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

#LI-Hybrid

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.

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

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.

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

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.

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

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

Benefits

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

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

#LI-Hybrid

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

Benefits

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

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

#LI-Hybrid

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom’s next generation of AI products.

Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. 

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
• Work on GPU‑level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
• You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
• You have hands‑on experience with one or more of the following:
• Model training (especially transformers and LLMs).
• Model inference at scale (again, especially transformers and LLMs).
• Low‑level GPU work, such as writing CUDA or Triton kernels.
• Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
• You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
• You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development.
• Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.

Bonus skills & attributes

None of these are required, but they’re nice to have:

• Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
• Experience running training or inference workloads on Kubernetes.
• Experience with AWS or other major cloud providers.
• Production experience with Python in ML or infrastructure contexts.
• Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings

Benefits

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

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends, and family!

#LI-Hybrid

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. 

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. 

Founded in 2011 and trusted by over 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What’s the opportunity?

We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Intercom’s own AI models.

This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge. 

Learn more about Intercom’s engineering culture at intercom.engineering, and more about Fin at fin.ai.

What will I be doing?

You will:

• Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities.
• Magnify the team’s effectiveness, whether that means removing impediments, or finding ways to accelerate their progress.
• Support teams of ML Scientists and Engineers building AI powered capabilities.
• Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
• Empower the engineers on the team to act with agency and maximize their impact.
• Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow.

What skills do I need?

• Experience training ML models and operating them in production, at scale.
• Experience leading infra or platform teams.
• Strong prior experience working as an engineer.
• Strong technical judgment and communication skills, enabling you to advocate for the team’s needs
• Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
• Curiosity and enthusiasm for AI.

Benefits

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

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

#LI-Hybrid

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. 

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. 

Founded in 2011 and trusted by over 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What’s the opportunity?

We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Intercom’s own AI models.

This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge. 

Learn more about Intercom’s engineering culture at intercom.engineering, and more about Fin at fin.ai.

What will I be doing?

You will:

• Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities.
• Magnify the team’s effectiveness, whether that means removing impediments, or finding ways to accelerate their progress.
• Support teams of ML Scientists and Engineers building AI powered capabilities.
• Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
• Empower the engineers on the team to act with agency and maximize their impact.
• Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow.

What skills do I need?

• Experience training ML models and operating them in production, at scale.
• Experience leading infra or platform teams.
• Strong prior experience working as an engineer.
• Strong technical judgment and communication skills, enabling you to advocate for the team’s needs
• Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
• Curiosity and enthusiasm for AI.

Benefits

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

#LI-Hybrid

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. 

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. 

Founded in 2011 and trusted by over 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What’s the opportunity?

We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Intercom’s own AI models.

This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge. 

Learn more about Intercom’s engineering culture at intercom.engineering, and more about Fin at fin.ai.

What will I be doing?

You will:

• Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities.
• Magnify the team’s effectiveness, whether that means removing impediments, or finding ways to accelerate their progress.
• Support teams of ML Scientists and Engineers building AI powered capabilities.
• Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
• Empower the engineers on the team to act with agency and maximize their impact.
• Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow.

What skills do I need?

• Experience training ML models and operating them in production, at scale.
• Experience leading infra or platform teams.
• Strong prior experience working as an engineer.
• Strong technical judgment and communication skills, enabling you to advocate for the team’s needs
• Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
• Curiosity and enthusiasm for AI.

Benefits

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

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

#LI-Hybrid

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. 

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. 

Founded in 2011 and trusted by over 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What’s the opportunity?

We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Intercom’s own AI models.

This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge. 

Learn more about Intercom’s engineering culture at intercom.engineering, and more about Fin at fin.ai.

What will I be doing?

You will:

• Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities.
• Magnify the team’s effectiveness, whether that means removing impediments, or finding ways to accelerate their progress.
• Support teams of ML Scientists and Engineers building AI powered capabilities.
• Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
• Empower the engineers on the team to act with agency and maximize their impact.
• Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow.

What skills do I need?

• Experience training ML models and operating them in production, at scale.
• Experience leading infra or platform teams.
• Strong prior experience working as an engineer.
• Strong technical judgment and communication skills, enabling you to advocate for the team’s needs
• Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
• Curiosity and enthusiasm for AI.

Benefits

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

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

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

Senior Analytics Engineer 

Communication has changed for people. It’s changed for businesses, too.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

#LI-Hybrid

What's the opportunity?

At Intercom, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.

We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.

We are looking for a Senior Engineer to join the team that builds and maintains a wide range of APIs and core services that support customer data management and integrations. We empower our customers and developers to move their data to best leverage our AI Agent, including Intercom’s MCP functionality.

Our team also manages strategic integrations with apps like Salesforce, Stripe, Shopify, and others, ensuring seamless data synchronization across external systems.

What will I be doing?

• Contribute to all phases of software development including ideation, prototyping, design and implementation.
• Collaborate with Product, Design, and Partnerships teams to ensure our data services meet business needs and provide a great developer experience.
• Design, develop, and maintain Intercom’s APIs, making sure they are feature rich, performant, robust, and well documented.
• Build and enhance our strategic integrations with apps like Salesforce, Stripe, and Shopify.
• Implement systems to monitor what we have built, to detect and surface both bottlenecks and problems with queues, workers and data quality issues.
• As a senior engineer, you will lead complex team level projects from ambiguous customer problems to delivered technical solutions.
• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence across Intercom.

What skills do I need?

• 5+ years industry experience in a software engineering role. You can demonstrate significant impact that your work has had on the product and/or the team.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.)
• Proficient with standard software engineering methodologies, e.g. unit testing, object-oriented design, data structures, code reviews, design documentation, and utilising observability tooling.
• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams
• Understanding of modern web apps and distributed systems, along with an ability to articulate technical challenges and solutions.
• Ability to learn quickly, iterate, unblock yourself, and persist until the right problem is solved.
• Experience modeling data to solve problems in elegant and efficient ways
• Experience with creating and consuming APIs and API documentation.
• Some hands-on cloud provider experience (preferably AWS).
• Strong problem-solving skills and a collaborative mindset.
• Experience as a technical lead for team level projects

Benefits

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

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

#LI-Hybrid

The Opportunity

Okta is expanding. As we solidify our position as the world’s leading identity provider, we are looking for a high-energy, entrepreneurial Emerging Account Executive to join our growing CEE team. 

This role is designed for a true "Hunter": your primary mission is to capture new logos and establish Okta as the standard for identity in the region, while strategically growing our existing install base.

What You Will Do

• New Logo Acquisition: Act as the primary engine for growth in the CEE region (Austria + Switzerland), focusing on identifying and closing new business opportunities within the Emerging segment (under 300 employees).
• Expansion & Growth: Manage and grow the existing install base, working with customers post-sale to accelerate adoption and identify upsell opportunities.
• Active Prospecting: Drive a high-volume outbound strategy to build a robust sales pipeline from scratch.
• Value-Based Selling: Navigate complex sales cycles and qualify opportunities using Okta’s sales methodology to ensure a perfect fit for the customer’s needs.
• Partner Ecosystem: Form long-term relationships with local resellers and system integrators to extend Okta’s market reach and drive regional adoption.
• Collaborative Selling: Partner closely with our Sales Engineers (SEs) to deliver compelling product demonstrations and technical validation that solve real-world customer problems.
• Marketing & Events: Actively collaborate with the Marketing team to drive attendance for regional events, webinars, and roundtables, turning field activity into a qualified sales pipeline.
• Travel: Ability to travel approximately 25% of the time to engage with customers and partners on-site.

What You Bring

• High Energy & Passion: You are genuinely excited about how technology—especially AI—is transforming the way organizations operate and secure themselves in the Digital Age.
• Hunter Mindset: You are a resilient, driven self-starter. You have experience in sourcing and outbounding and thrive in high-activity environments.
• Growth Mindset: You are a lifelong learner with a relentless desire to develop your sales craft; you are coachable, proactive in seeking feedback, and view every challenge as an opportunity to grow.
• SaaS Experience: A track record of success selling SaaS; experience in value-based selling at the C-level is essential.
• Team Player: A collaborative spirit with a desire to work alongside SEs and Marketing to win as a team.
• Ecosystem Awareness: A strong desire to build and nurture a professional network within the CEE reseller and partner community.
• Communication: excellent verbal and written communication skills. Fluency in German and/or French is a plus.

You might also have:

• Understanding of and experience with Identity & Access Management, Single Sign-on and API-based solutions is always great but definitely not a must have
• BSc/BA degree or equivalent preferred (but not essential)

#LI-Onsite 

P10375_3432217

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Accounts Receivable Specialist who will be responsible for the day-to-day activities of invoicing, collections, and payments, while reviewing and processing credit memos and reconciling receivable balances to maintain healthy cash flow. If you love working with numbers, building strong client relationships, and are keen to join an industry leader in fleet technology - we would love to hear from you!

What you’ll do:

As an Accounts Receivable Specialist, your key area of responsibility will be ensuring accurate and timely invoicing, collections, and reconciliation across assigned accounts. You will manage the full accounts receivable cycle - from verifying pricing accuracy on invoices and calculating reseller credits to monitoring deviations from credit standards, processing necessary write-offs or credits, and completing month-end closing tasks. You will work closely with the Accounts Receivable Manager for approvals and serve as the primary customer liaison for invoicing, billing, activations, terminations, support tickets, and order inquiries, ensuring assigned accounts are consistently well-supported.

To be successful in this role, you will be a highly organized, detail-oriented team player with excellent communication skills and the ability to practice discretion in all corporate matters. You must be a problem-solver who can manage multiple priorities simultaneously in a fast-paced environment. In addition, the successful candidate will bring strong analytical skills and a solid understanding of computerized accounting systems like Dynamics AX. Proficiency in Google Suite and Excel is required, along with a proven track record of 3-5 years in accounts receivable and a background in Finance or Administration.

How you’ll make an impact:

• Assure timely and accurate invoicing for assigned accounts

• Assure timely collection of monies due to Geotab related to assigned accounts

• Ensure write-offs for assigned accounts are completed in a timely manner

• Calculate any necessary credits due to assigned Reseller accounts and submit to the Accounts Receivable Manager for approval before posting

• Monitor and report on deviations from credit standards for assigned accounts

• Ensure that pricing on invoices is correct, accounting for concessions

• Serve as the customer liaison for invoicing, billing, activations, terminations, support tickets, and order inquiries for assigned accounts

• Make recommendations to improve the quality of invoicing and collection procedures

• Complete additional tasks at month-end to ensure timely invoicing of all accounts

• Support Geotab global strategic initiatives

What you’ll bring to this role:

• Diploma or degree in Accounting, Finance, Business Administration, or a related field

• 3–5 years of experience in accounts receivable or a similar finance or collections role

• General understanding of computerized accounting systems; knowledge of Dynamics AX ERP is an asset

• Strong analytical and problem-solving skills with the ability to make well-judged decisions

• Technical proficiency with Google Workspace (Sheets, Docs, Slides) and Microsoft Excel

• Excellent verbal and written communication skills with the ability to engage across all levels of the organization

• RMA experience is an asset

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Why job seekers choose Geotab:

Okta’s Sales Development Representatives are high energy professionals that drive the demand, awareness, and interest for our market-leading cloud Security solutions. You will partner and collaborate closely with members of our Account Executive and Marketing teams to generate qualified sales leads, set meetings, and yield new deal opportunities. We're looking for professionals with strong organizational and follow up skills who work well in a team

What you'll do:

• Uncover and approach prospects to generate new business opportunities to fuel the sales pipeline
• Help create and prioritize strategic target account lists within a defined territory
• Research and build new and existing accounts (i.e.: adding contacts, emails, strategic calling)
• Conduct high-level conversations with Senior Executives in prospect accounts
• Evangelize Okta and the On-Demand mode
• Achieve monthly quotas of qualified opportunities and closed business

Who you are:

• Previous prospecting experience
• Experience in working to sales targets, KPIs or under time pressure would be a plus
• Salesforce.com experience
• Excellent written/verbal communication skills
• Strong problem-solving skills
• Highly motivated, driven and self-starting individual who is goal orientated
• Ability to work in a fast-paced, team environment
• Ability to understand customer needs and meet that need with a successful product sale
• Excellent time management/organizational skills
• A passion for the Tech/ Saas industry
• Preference for fluency in Dutch language & English

Why Us? 

• Competitive salary & uncapped commission structure!
• Great benefits including pension & medical
• Catered lunches & snack program
• Okta for Good volunteer program so you can give back to your community
• You’ll attend in-person onboarding in San Francisco to kick off your journey with Okta
• Learn more about our Global xDR team

#LI-Onsite

P12795_3426464

Job Title:

Engineering Manager (SaaS Platform, .NET)

Why Kaseya?

Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We’re hiring an Engineering Manager to lead a team responsible for building and delivering SaaS platform features. This role focuses on team leadership, delivery execution, and improving engineering practices across the group. You’ll work closely with Product and QA to ship high-quality features while ensuring systems are scalable, secure, and reliable. Success in this role means delivering consistently, developing engineers, and improving team performance over time.

Roles & Responsibilities

• Manage and develop a team of software engineers, including hiring, performance management, and career development
• Own delivery of team roadmap, ensuring features are delivered on time and meet quality expectations
• Partner with Product and QA to define scope, prioritize work, and align on delivery timelines
• Drive adoption of engineering best practices, including CI/CD, automated testing, and code quality standards
• Support release readiness, production stability, and incident response activities
• Contribute to technical decisions and system design while enabling engineers to take ownership
• Ensure secure coding practices and adherence to compliance standards (e.g., SOC 2, GDPR)
• Track team performance and identify opportunities to improve delivery and efficiency

Required Qualifications

• 3+ years of experience managing software engineering teams (direct people management, performance reviews, hiring)
• 6+ years of professional software engineering experience in a production environment
• Experience delivering cloud-based SaaS applications (AWS, Azure, or similar)
• Experience working in Agile development environments with CI/CD pipelines
• Experience supporting production systems, including incident response and release management

Preferred Qualifications

• Experience working with .NET (C#, .NET Core) in production environments
• Experience with modern frontend frameworks (e.g., Angular)
• Experience with relational databases (e.g., MS SQL, MySQL)
• Familiarity with observability tools (logging, monitoring, alerting)
• Exposure to AI/ML features or workflows in a product environment
• Experience improving engineering processes and team efficiency

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

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

As an ideal candidate, you will have

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience
• Fluency in Hebrew would be a plus

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

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: 426116

MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.

We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.

You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.

You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.

You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.

As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.

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

About the team

We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.

We are a distributed team; stretching from our offices in Dublin and NYC to other locations in  Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.

The ideal candidate for this role should have

• 3-5 years of product management experience with a track record of shipping developer-facing tools, integrations or APIs
• 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) - including Django, FastAPI and Flask
• Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment
• Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions
• Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences
• Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them
• Curiosity, a positive attitude, and a drive to continue learning
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

Position Expectations

• Explore the problem space, build connections with your customer-base, interact with the users in the Python community, formulate the vision and the strategy and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities
• Deeply understand all aspects of the business — your job is to ensure a business outcome, not just product definition!
• Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users
• Collect and analyze data that will drive product decisions
• Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions
• Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks etc  to be added to our portfolio
• Engage in various go to market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging

Success Measures

• In three months, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
• In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your  engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
• In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders

About MongoDB

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

With offices worldwide and 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: 4263289662

MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.

We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.

You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.

You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.

You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.

As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.

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

About the team

We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.

We are a distributed team; stretching from our offices in Dublin and NYC to other locations in  Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.

The ideal candidate for this role should have

• 3-5 years of product management experience with a track record of shipping developer-facing tools, integrations or APIs
• 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) - including Django, FastAPI and Flask
• Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment
• Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions
• Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences
• Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them
• Curiosity, a positive attitude, and a drive to continue learning
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

Position Expectations

• Explore the problem space, build connections with your customer-base, interact with the users in the Python community, formulate the vision and the strategy and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities
• Deeply understand all aspects of the business — your job is to ensure a business outcome, not just product definition!
• Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users
• Collect and analyze data that will drive product decisions
• Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions
• Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks etc  to be added to our portfolio
• Engage in various go to market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging

Success Measures

• In three months, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
• In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your  engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
• In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders

About MongoDB

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

With offices worldwide and 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: 4263289662

Want to secure the future of data management and AI/ML?  At MongoDB we are transforming industries and empowering developers to build amazing AI/ML-powered apps that people and enterprises use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Overall, the worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026!). Join our team and be at the forefront of innovation and creativity.

Who You Are

With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions.

Who We Are

The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for the MongoDB Database Server (Community and Enterprise editions).

The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns.  The team does the following:

• Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling
• Use software architecture and coding patterns to reduce the impact of security issues
• Be security subject matter experts for our tech stack and products

Responsibilities

• You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security
• Advocate for and lead complex security projects from inception through completion
• Drive architecture, patterns, and processes across Server Engineering that make security the easiest path
• Partner closely with engineering teams to design and implement security controls across our software and systems
• Research and POC new attacks against our systems. Plan and perform product security assessments including architecture review threat modeling, code review, pen testing and general security consulting to proactively build security controls
• Serve as a security subject matter expert for software security and architecture
• Educate the engineering org on security through CTFs, lunch-and-learns, and one-on-one mentorship

Requirements

• 7+ years of experience in application security, software security, or product security
• Proven experience in C++ programming, performing security assessments on low-level codebases, and implementing remediation strategies for memory-related security flaws such as buffer overflows and memory leaks
• Programming experience and ability to contribute code back to our environments
• A strong track record of partnering with software engineers: leading threat models, performing security design reviews, and developing an understanding of their product space to form pragmatic security recommendations and influence their prioritization
• Comfortable communicating complex technical issues in a simple manner that builds trust with a variety of audiences
• Demonstrated ownership of security initiatives, with the ability to deliver results autonomously or collaboratively
• Can work flexible hours occasionally to collaborate with US-based colleagues 

Don’t feel that you meet all of the requirements?  We encourage you to apply anyway because studies have shown that some strong candidates may self-select out of the interview process prematurely.  We have a diverse, inclusive, equitable, and high-performing environment at MongoDB and want to continuously improve our ability to deliver for customers.

Nice to Haves

• Subject matter expertise in database security, or data security
• Knowledge of database engines, database internals, or applied cryptography
• Experience contributing or partnering with security researchers to identify vulnerabilities that eventually are published CVEs or administrative responsibilities of a CNA

Success in this role means

• Seeing projects through from conception to completion in order to deliver new services or capabilities for the team
• Establishing yourself as a go-to person for discussing security topics

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

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: 4263321472

The Position:

The mission, should you choose to accept it, is to pioneer and scale Ripple Treasury's liquidity platform into the future. If you enjoy solving complex business problems in a fast-paced, collaborative, and iterative environment this might be the right role for you!

At Ripple, you’ll be a part of makers, breakers, doers, and progressives, who love to solve real problems and meet real customer needs. As an established FinTech leader in the SaaS treasury management space, our vision is to create the next-generation of technology tools for the global, corporate financial office.

We are seeking an innovative and forward-thinking Engineering Manager passionate about building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic 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, categorise, and analyse 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:

• Lead a portfolio of diverse technology projects and a team of software engineers with deep experience in event driven cloud native services, and full stack systems to create solutions that help meet the needs of business and customers
• Collaborate with product managers, and deliver robust cloud-based solutions
• Make decisions on the design, architecture, and delivery of systems
• Build teams and be an active coach and mentor to your team and grow them in their careers
• Drive agile development and analytical methodologies every day
• Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team
• Interact with your team, customers, and peers to share information and improve cross-department processes
• Strive for transparency and partnership between our engineers and our business partners
• Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions
• Ensure all work meets quality, operational, and architectural standards needed for organisational success
• Be a champion of the YBIYRI ethos (you-build-it-you-run-it), which includes participating in their on-call pager rotation.

Who You Are:

• A leader, first and foremost
• An influential and effective communicator
• Highly skilled at developing people, building high impact teams, and attracting top talent
• Strong proficiency with the software development lifecycle and engineering excellence processes, Agile methodologies, along with skills in leading moderately sized projects
• Technical savvy, allowing you to guide complex technical discussions, weighing the tradeoffs, and advocate for sound decisions
• A skilled operator of Agile practices and data driven methodologies
• Ideally, possess deep knowledge and experience with AWS, and the Ruby/Rails tech stack

Team Enablement & Mentorship:

• Mentor engineers, helping them grow into technical leadership roles
• Break down complex, ambiguous problems into actionable work that distributes effectively across the team
• Champion engineering best practices including observability, incident response, and production excellence
• Share your enthusiasm for tech trends, explore and learn new technologies

Cross-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 prioritise high-impact work

Maximise Agility:

• Identify and eliminate bottlenecks in the development lifecycle that slow down the entire team
• Drive adoption of modern engineering practices that improve developer experience and productivity
• Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities

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
• Make tough technical trade-off decisions and clearly communicate the reasoning

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)

Backend Engineer, Core Technology

Who we are

About Stripe

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

About the Organization 

• Core Infrastructure: We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure: We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models. 
• Reliability Insights and Excellence: We build tools and frameworks to introspect and improve reliability across Stripe.
• Application and Revenue Platform: Building the powerful and scalable infrastructure that powers the company’s innovative application offerings and supports the seamless processing and management of Stripe’s global transaction volumes.
• Finance Systems: Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.
• Service Platform: We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. 
• Team Matching: exact team matching for one of the subteams within one of these orgs will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. 

What you’ll do

We’re looking for Software Engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack
• Who you are
• We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 2-12+ years of industry software engineering experience (does not include internships or co-ops)
• Ability to write well-factored algorithms and have experience with commonly used data structures and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

Senior Machine Learning Engineer, Optimisation (Gurobi)

Do you want to join a Machine Learning team committed to enhancing the PlayStation

experience for hundreds of millions of users and also game studios? Are you passionate about solving complex constrained optimisation problems at scale? We are building advanced decision systems that drive pricing, promotion planning, and large-scale commercial strategy across the PlayStation ecosystem. These systems directly deliver highly impactful recommendations to our studios and have strong leadership sponsorship.

We are looking for an experienced engineer with deep expertise in mathematical optimisation and operational research, particularly using tools such as Gurobi or OR-Tools, to design and deploy production-grade optimisation systems. You will work within the ML teams in the DTIS organisation, on high-impact, executive-sponsored projects and collaborate closely with Product, Business, and others in Engineering, to transform complex business constraints into scalable solutions.

What You’ll Do

• Design and implement large-scale optimisation models using industry-standard
• solvers, such as Gurobi.

Build decision systems that:

• Incorporate predictive signals from machine learning models (e.g., forecasts and scoring models).
• Operate under multiple operational and business constraints.
• Automatically balance trade-offs across competing objectives.
• Improve existing workflows to maximise the core usage of the Gurobi solver and reduce
• job runtime
• Partner closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.
• Conduct scenario analysis and uplift forecast to support strategic planning.
• Mentor and guide junior machine learning engineers, providing technical leadership and
• raising the bar of technical quality.
• Thought-lead and influence technology strategy and product roadmap through OR/ML lens, contributing to the development and execution of overall OR/ML strategy.

You Bring:

• Advanced degree (Master’s or Ph.D.) in Operations Research/Applied Mathematics/Data Science, specialising in optimisation problems.
• Strong hands-on experience with Gurobi, OR-Tools.
• Industry experience building, deploying, and owning Gurobi or ORTools-driven optimisation systems in production.
• Strong programming skills in Python, Java, with experience integrating optimisation solvers into cloud-based backend systems
• Excellent communication skills and ability to bridge technical solutions with business objectives, to convey complex concepts to stakeholders with little knowledge of OR or ML.
• Experience working with outputs from machine learning models and incorporating them into downstream decision-making pipelines.
• Excellent resilience and problem-solving skills, with the ability to navigate through fast-changing conditions to land results.

Preferred Qualifications:

• Experience in promotion calendar optimisation using Gurobi.
• Experience with large-scale structured data manipulation and processing, using
• Databricks, PySpark, Snowflake.
• Experience in running online A/B testing for predictive models and improving relevant
• Experience working with custom ML platforms for continuous integration, deployment,and monitoring of machine learning models.
• Experience in the gaming industry.
• Experience working with cross-timezone teams.

Why Join Us?

Be part of a team building brand new tools and platforms used by thousands of developers worldwide. We foster a diverse, inclusive culture where innovation, learning, and collaboration are at the core of everything we do.

The role

We are looking for a strong Software Development Manager to lead high-impact teams within the PlayStation SDK Developer Host Tools division.

This role requires a balanced leader, someone who can manage a high-performing team, while also maintaining strong technical depth to guide architecture, review designs, and support engineers at a code level when needed.

You will operate across both backend distributed systems and web-based and/or native frontends, helping to shape solutions that are both technically sound and highly usable for developers.

What you’ll be doing

• Support, encourage, and help develop a team of engineers, fostering a positive and collaborative work environment
• Assist with technical discussions and contribute to code reviews and system design
• Work together with other groups and teams across different time zones
• Help carry out the team's goals and follow the established plans
• Manage daily tasks while keeping in mind the team’s long-term objectives
• Promote a strong developer experience by focusing on ease of use, performance, and reliability
• Recognize challenges, help remove obstacles, and clarify tasks in situations that are not well defined

What we are looking for

Must have

• 7–10 years of overall software engineering experience with 3–5+ years of experience managing engineering teams.
• Strong technical background with hands-on understanding of backend/platform fundamentals
• Ability to operate at code-level depth when needed (design reviews, debugging, guiding engineers)
• Proven experience designing and delivering complex, distributed systems
• Track record of building and scaling high-performing engineering teams
• Experience working on developer tools, internal platforms, or productivity systems
• Strong ability to influence and align stakeholders across teams
• Excellent communication skills across both technical and non-technical audiences
• Ability to operate effectively in fast-moving, ambiguous environments

Nice to have

• Solid grasp of frontend systems, including JavaScript, React, and React Native
• Familiarity with AI/ML-driven workflows or developer tooling
• Background in performance profiling and developer ecosystems
• Skilled in C# and .NET technologies
• Experience with low-level languages such as Rust and C++

Benefits:

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

Engineering Manager, Machine Learning

Do you want to lead a team building advanced decision systems that directly shape monetisation strategies across the PlayStation ecosystem? Are you passionate about combining machine learning and operational research to solve complex, high-impact business problems at scale? We are building systems that power decisions across a global catalogue of games, including base pricing across lifecycle stages of a game, while balancing revenue growth, player experience, and cannibalisation across titles.

We are looking for an experienced Machine Learning Engineering Manager to lead a hybrid team of Machine Learning engineers and Operations Research experts. You will work on high-impact, executive-visible initiatives, partnering closely with Product, Business, and Engineering teams to translate complex, ambiguous problems into scalable, production-ready systems.

What You’ll Do

Lead and grow a team of machine learning engineers and optimisation specialists, fostering collaboration across disciplines and raising the bar for technical excellence.

Build a high-performing, inclusive team by:

• Coaching and developing engineers across ML and OR disciplines
• Providing clear feedback, career growth, and performance management
• Hiring and retaining top talent

Improve large-scale optimisation systems that:

• Incorporate predictive signals from machine learning models (e.g., demand forecasting, item elasticity).
  
  
• Leverage optimisation frameworks using Gurobi to make decision recommendations under known business constraints.

Partner closely with Product, Business, and regional stakeholders to:

• Translate business goals and constraints into optimisation frameworks.
  
  
• Align on tradeoffs between short-term performance and long-term strategy.
  
  
• Resolve conflicting priorities through data-driven decision-making.

Ensure systems are explainable, trustworthy, and actionable by:

• Providing clear reasoning behind model-recommended decisions.
  
  
• Enabling debugging and traceability across ML and optimisation components.
  
  
• Driving adoption with business and product stakeholders.

You Bring:

• Deep understanding of the relevant ML and OR domains and infrastructure with a track record of delivering complex ML and OR systems into production.
• Proven strong experience leading and developing high-performing ML and OR teams, including: Growing engineers across different skill sets (Machine Learning, ML Infra, Operational Research); Driving career growth and performance evaluation; Hiring and retaining high-performing teams.
• Demonstrated ability to create a strong team culture with high accountability, creativity and continuous improvement.
• Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality, high-velocity execution.
• Demonstrated success driving cross-functional initiatives that require influencing without direct authority, in fast-moving environments
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• MS, or PhD in Computer Science, Machine Learning, Operational Research

Preferred Qualifications:

• Hands-on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark.
• Experience in pricing, promotions or marketplace optimisation.
• Experience in modelling demand elasticity and forecasting.
• Experience in the gaming or digital content industry.
• Experience working with globally distributed functions and teams.

The Okta Sales Team 

Okta has a vision to free anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of Workforce and Customer log-ins every year. As an Okta AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Okta Platform customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

The South Africa Corporate Sales team is growing!

Our South Africa team is based out of Dublin and has seen huge transformation and growth in the last couple of years. We have an incredible opportunity to win the identity market with our already market leading technology.

The Corporate Sales Account Executive Opportunity - South Africa

The successful Okta Account Executive is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats.

As an Okta AE, you will be focused on providing value to C-Suite decision makers on their ability to drive the most secure environment possible for their workforce. You will consistently drive territory growth through driving both net new logos and cultivating and growing existing Okta customers. You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Okta & Auth0 customers.

What You’ll Be Doing:

• Establish a vision and plan to guide your long-term approach to net new logo pipeline generation
• Consistently deliver revenue targets to support YoY territory growth
• Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
• Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers 
• Scope, negotiate and close agreements to consistently meet and exceed revenue quota targets
• Holistically embrace, access, and utilize Okta partners to identify and open new, uncharted opportunities
• Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc)
• Adopt a strong value based sales approach, always looking to bring a compelling point of view to each customer
• Travel as necessary to build and cultivate customer and prospect relationships. Expectation to also be present in our Dublin office for collaboration and training purposes.

What you’ll bring to the role:

• 3 + years success in growing revenue for sophisticated, complex enterprise SaaS solutions.
• Ability to evangelize, educate and create demand with C-level decision makers
• Ability to navigate complex sales cycles with multiple stakeholders from both the customer base and within the internal ecosystem
• Proven success selling into C-suite and building partnership and buy-in with multiple stakeholders
• Significant experience selling in partnership with GSI’s & the wider partner ecosystem
• Excellent communication and presentation skills with audiences of all levels and all technical aptitudes
• Confident and self driven with the humility required to successfully work in teams
• Expertise using a Sales Framework such as MEDDICC, Challenger or Sandler (we use MEDDPICC)
• Local language skills is a plus

As a Corporate Account Executive you will:

• Position Okta Workforce cloud solutions to South African organisations.
• Build and execute on a strong territory plan for your accounts in region
• Target companies in the Corporate to lower Enterprise segment.
• Focus on winning new logos with a land and expand mentality
• Deliver outstanding customer experience to ensure renewals, and capitalise on upsell opportunities.
• Adopt strong rhythm and process using MEDDPICC to manage and close complex deals.
• Become an expert on the Okta & Auth0 value proposition and be comfortable positioning this with both technical and executive level stakeholders.
• Partner with internal functions and manage who and when people are brought into the sales cycle, typically with Solutions Engineering, Alliances, Marketing, Business Value Management and Professional Services (which we call Customer First)

You could be a great fit for this role if you have:

• Experience selling a SaaS product in the South African market
• Sold to organisations in the corporate space
• A results driven, hunter mentality with a strong prospecting process
• Experience using a sales methodology such as MEDDIC
• Strong forecasting rigour
• Passion for technology and how it can help organisations compete and thrive in the Digital Age;
• Experience in value-based selling at senior/C-Level
• The ability to travel to Africa, including customer & partner sites, and visits to our EMEA HQ in London, and the US

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Manager – Data & AI

At BearingPoint, our Data Analytics & AI (DA&AI) team is dedicated to helping clients unlock the full potential of their data in ways that are meaningful, sustainable, and aligned with their goals. We work closely with organisations across industries to co-create tailored solutions—from data strategy and governance to visualisation, AI, and machine learning. Our strength lies in our collaborative spirit, diverse expertise, and shared commitment to making a positive impact.

About The Role

We’re looking for a thoughtful and adaptable Manager to join our growing DA&AI team. This role is ideal for someone who enjoys working closely with others, values continuous learning, and is passionate about using data to support better decision-making and long-term success.

As a Manager, you’ll guide and support teams in delivering thoughtful, end-to-end data and AI solutions. You’ll collaborate with internal colleagues and client partners to co-design solutions that are both innovative and practical. This is a hands-on role that spans the full data lifecycle—from strategy and architecture to insights, automation, and ethical AI.

What You’ll Be Doing

• Coordinate and contribute to data and AI projects across sectors such as finance, public sector, supply chain, and healthcare.
• Partner with clients to understand their needs and co-create solutions that are scalable, inclusive, and future-ready.
• Support and mentor teams of consultants and analysts, encouraging a culture of learning, curiosity, and shared success.
• Facilitate open and inclusive stakeholder conversations, ensuring everyone’s voice is heard and valued.
• Work with a range of technologies including Azure, Power BI, Python, SQL, and emerging GenAI tools.
• Help integrate AI/ML capabilities into workflows in ways that are ethical, transparent, and aligned with client values.
• Contribute to data strategy, architecture, and governance with a focus on clarity, alignment, and long-term value.
• Explore new tools and approaches that can enhance outcomes and create meaningful impact.
• Collaborate on business development through knowledge sharing, proposal input, and client engagement.

What We’re Looking For

• 5+ years of experience in data, AI/ML, or technology consulting.
• A strong foundation in tools such as Azure (AI Search, Data Factory, SQL DB, Fabric), Power BI, Python, SQL, and GenAI frameworks (e.g., LangChain, Semantic Kernel).
• Experience supporting teams and delivering thoughtful, people-centred solutions in a client-facing environment.
• Familiarity with the full data lifecycle, from ingestion and transformation to modelling and visualisation.
• Excellent communication and relationship-building skills, with a collaborative and empathetic approach.
• A passion for mentoring, learning, and working across disciplines.
• Knowledge of data governance, cloud architecture, and data migration strategies.
• A mindset that is open, reflective, and focused on creating real value for people and organisations.

Cloud Data Architect

BearingPoint Ireland has an exciting opportunity for an experienced Cloud Data Architect to join our growing Data Analytics & AI team. We are working with a wide range of clients, on a number of complex projects that are transforming the way business is being done in Ireland

Applicants should have the following skills / experience:

• Minimum of 5 years’ experience as a data architect, working in both “on-prem” environment and Cloud environment, especially Microsoft and AWS technologies
• Advanced data modelling and architecture skills
• Proven experience with data integration tools such as SSIS, ADF, Kafka, Talend
• Proven ability to write automated scripts using PowerShell, SQL
• Good communication and language skills in the English language (presenting, documenting, workshopping)
• Experience managing stakeholders in a complicated environment
• Experience in the configuration and setup of database environments
• Experience of database design from an online, batch and reporting perspective
• 3rd level degree in IT related discipline

In addition to the above, the following skills / knowledge will be beneficial:

• Experience working with Power BI in a Fabric or Synapse Analytics environment.
• Experience with other analytics delivery platforms, such as Databricks, Spark, Snowflake. Redshift. etc.
• Knowledge of machine learning frameworks and AI tools.
• Knowledge of software delivery practices, modern delivery methodologies (incl. Agile) – i.e. the ability to understand how a delivery project works and the constraints that they are working in
• Experience with data governance frameworks and data security policies.
• Performance optimization of cloud data solutions.

The problem you're here to solve

reAlpha runs a lean product team and you'll carry real scope — this is not a role with a narrow lane. You'll execute on a portfolio of reAlpha products with a broad purview, owning the full execution layer end to end: from opportunity identification through design oversight, build, rollout, and optimization.

This role owns Growth — the surfaces that determine whether reAlpha converts and qualifies buyers: sign-up flows, onboarding, search, listing pages, tours, pre-qualification, and the Homebuying Hub. These surfaces run in parallel, and this PM is accountable for moving all of them. Lead volume and lead quality are the core metrics you'll own. You'll report directly to the COO while we bring on a new VP of Product.

This location is onsite in our Ohio office and cannot be done remotely. 

What You'll Own

Opportunity Identification

• Draft the roadmap from first principles — customer signal, usage data, business goals, and competitive context — and bring a defensible point of view to leadership for alignment
• Decide what not to build as much as what to build; a well-reasoned sequencing argument is part of the job
• Work with the COO, CTO, and CMO to move from draft to aligned path forward
• Surface where strategy needs sharpening before it reaches the sprint, and come with a proposal, not just a flag

Planning

• Define what success looks like before engineering starts; turn a problem into a brief the team can execute against without constant clarification
• Write PRDs with crisp acceptance criteria, accompanied by prototypes as needed
• Direct design toward the right problems and own the briefs they're working from
• Partner with engineers and designers across time zones; know when to push back on scope and when to protect it
• Maintain a productive cadence of groomed and designed work ready for development

Launch

• Own how a feature gets to users: sequencing, communication, support readiness, and the decision of when something is actually done
• Ensure business stakeholders always know what's being built, why, and when — before they need to ask
• Close the loop — did it work? Iterate, double down, or move on; the next opportunity should be better informed than the last

What you bring

Required

• 4–6 years of product management at a consumer or marketplace company — you've owned a funnel and have the scar tissue to show for it
• Experience building or rebuilding product process at an early-stage company; you know what good looks like before the scaffolding is in place
• Schedule flexibility to maintain daily overlap with a Nepal-based engineering team; they're available until approximately 12pm ET
• You have AI embedded into how you actually work — not as a productivity experiment, but as a core layer of your research, planning, writing, and review process. You track capability releases, update your workflows when something meaningfully better ships, and think in systems: inputs, outputs, handoffs, feedback loops

Preferred

• Background in proptech, fintech, or another regulated consumer-facing vertical
• CRM experience — we run on High Level and are migrating to Customer.io
• Experience with ML or data products — you've shipped features where the model is part of the UX
• You think in systems — you can hold the full product architecture in your head while managing what needs to ship in two weeks

How We Work

• Process: Agile (Scrum-leaning), Linear for sprint and backlog management
• Team: ~8 engineers (Nepal-based), ~2 designers, reporting to COO with close collaboration with CTO and CMO
• Reporting path: This role reports to the COO and carries meaningful cross-functional visibility from day one. As the product leadership org scales and a VP of Product joins the team, your reporting line evolves into that structure — a natural progression as the function matures
• Culture: You identify problems before they're assigned to you, and you come to conversations with a point of view

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. 

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you.

The Buying Programs Strategy & Operations Team

Okta’s Buying Programs Strategy & Operations team is responsible for closing complex commercial contracts by providing Sales teams with business process and policy insights, as well as strategic and operational support. 

The team sits within the broader Go-To-Market Strategy and Operations organization, which drives strategy through execution for Okta’s durable growth. As a member of GTM S&O, you will have the opportunity to learn about and contribute to Okta's business from all angles, including standardizing policies and systems to scale operations as well as collaborating with product teams to roll out new offerings.

The Manager, Deal Strategy Opportunity

In this role, your primary function will be to strategically and effectively model and structure non-standard proposals and contracts that mutually benefit Okta and its Customers in EMEA. You will be well-positioned as the “pulse” of the business and strategic adviser to the Sales organization. If you have a successful track record of thriving in ambiguity within a rapidly growing environment and solving complex problems, this is your role. 

What you’ll be doing 

Serve as an expert on deal structuring, pricing, commercial terms, processes, and policiesEnsure all non-standard commercial terms are reviewed, approved, and documented correctly in accordance with Revenue Operations requirementsStrategize with Sales and internal stakeholders, including Accounting, Revenue Operations, Legal, Compliance, and Product to structure and position complex dealsProvide Revenue Operations and Accounting teams with context and clarification on complex deal structures and metric treatment related to booking, invoicing, internal reporting, etc.

• Collaborate with and provide guidance and deal insights to cross-functional teams to drive change and proactively design solutions to solve complex problems
• Maintain a holistic view of a deal during contract negotiations; driving internal stakeholder discussions and resolution on customer concerns or key business issues that arise during negotiation
• Build scalable and efficient processes to operationalize excellence to ensure timely and accurate closure of deals
• Identify deal trends and develop and implement best practices with a data-driven mentality
• Partner with sales leadership to identify areas of opportunity and provide detailed insights into the business

What you’ll bring to the role

• Minimum 5 years of Sales support experience in the technology industry with at least 3 years experience in a Deal Desk role
• A willingness to enforce deal governance and compliance policies with a thorough understanding of the SaaS revenue model and reporting 
• Demonstrated project management experience or participation in process improvement efforts
• Excellent communication skills, written & verbal, with the ability to explain complex concepts clearly and effectively across all levels of the organization
• Proven performance in negotiating and closing large enterprise SaaS agreements 
• Aptitude in prioritizing, maintaining attention to detail, and producing timely and quality work under high pressure and tight deadlines with the capacity to lead and engage in multiple initiatives at the same time
• Strong research, analytical, and problem-solving competencies with a growth mindset
• Proficiency in Salesforce and Google Workspace is required with intermediate knowledge of Excel and Tableau preferred

#LI-Hybrid

#LI-IGP12079

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.

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

We’re looking for a machine learning engineer II in our Growth Platform engineering group. You’ll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience.

What you'll do:

• Develop and implement ML models to improve user targeting and personalization for growth initiatives
• Design and build scalable ML pipelines for data processing, model training, and deployment
• Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
• Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
• Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
• Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
• Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
• Participate in code reviews and collaborate with team members as needed
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we're looking for:

• 3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
• Excellent communication skills and ability to work effectively in cross-functional teams 
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Strong programming skills in Python and experience with PyTorch
• Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
• Experience with recommendation systems, user modeling, or personalization algorithms
• Familiarity with statistical analysis
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.
• Bachelor’s/Master’s degree in a relevant field or equivalent experience.
• Nice to have:
  • Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
  • Proficiency in data visualization techniques
  • Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
  • Contributions to open-source ML projects or research publications

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

#LI-HYBRID 

#LI-JD1

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.

THE ROLE

Lead the strategic execution of our international revenue (IR) and accounts receivable (AR) operations, serving as a critical partner within the Order to Cash organization. You will bridge the gap between technical accounting compliance and commercial strategy, advising cross-functional teams on complex global deal structures and revenue recognition. As a strategic leader, you will drive operational excellence, oversee statutory reporting, and champion automation initiatives to scale our global financial processes.

WHAT YOU’LL DO

• GTM & Technical Advisory: Partner with regional Deal Desk and Sales teams to evaluate contract structures, providing clear guidance on ASC 606 compliance and ensuring new business models are integrated seamlessly into our global framework.
• Operational Revenue Leadership: Lead the international revenue close and AR accounting processes, ensuring the highest standards of accuracy in reporting, reconciliations, and intercompany eliminations across multiple jurisdictions.
• Strategic FP&A Partnership: Collaborate closely with FP&A and Treasury to provide highly accurate revenue analytics and forecasts for deferred revenue, RPO, and cash collections, directly influencing global business decision-making.
• Audit & Control Management: Drive the execution of SOX controls and coordinate international statutory audits, delivering precise documentation and proactive insights to internal and external auditors to ensure global compliance.
• AI & Automation Transformation: Champion the deployment of AI-powered tools and intelligent automation to streamline contract reviews and anomaly detection, moving the function toward a data-driven, automated future.

WHAT YOU BRING

• Deep Technical Proficiency: Robust knowledge of ASC 606 within the technology sector, with specific experience managing revenue across SaaS, hardware, and hybrid business models.
• Global Accounting & Statutory Knowledge: Solid understanding of international accounting principles and the complexities of multi-entity consolidations and statutory reporting requirements across different regions.
• Systems & Digital Fluency: Practical experience with enterprise-grade ERPs (like SAP or NetSuite) and a proactive mindset toward adopting machine learning and automation tools to enhance financial workflows.
• Collaborative Leadership: Proven experience managing accounting professionals and the ability to partner effectively across Finance, IT, and GTM functions to solve complex operational challenges.

We are primarily an in-office environment, and therefore, you will be expected to work from the Dublin, Staines or Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI ON-SITE

The Global Enablement (GET) team

The Global Enablement Team (GET) focuses on aligning people, processes, and priorities with relevant learning, coaching, and communication delivered at the right time. This role is instrumental in equipping our Okta sales, presales and channel partners with the knowledge, skills, and tools they need to promote and implement Okta’s solutions successfully. 

The Partner Enablement for Partner Led Countries Role

Reporting to the Director of Partner Enablement, this role will join our growing Global Partner Enablement team to enable select partners to self-sufficiently drive Okta business in emerging markets. Working with cross-functional teams aligned to the partner-led objectives, this role will be responsible for designing and executing on enablement strategy and product knowledge that meets partner needs to excel in a partner-driven approach. This role requires both virtual and in-person enablement with the potential for international travel as the needs grow to other markets. 

*This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment.  

What you’ll be doing 

• Develop and execute on an enablement strategy and product knowledge that takes partners from initial recruitment through "Tech Champion" status.
• Adapt internal trainings, enablement resources, sales plays, and technical enablement into bespoke partner content through a train-the trainer model in which the partner cascades content to other partners within their ecosystem.

• Ensure partners are experts in Okta onboarding, product sales and presales, service delivery and customer success training. 
• Train partner to excel at  self-service tools, including self-quoting (New, Upsell, and Renewals), lead management, and deal registration.
• Educate partners on partner program elements including licensing models, pricing strategies and incentives.
• Collaborate with cross functional teams to expedite content creation and partner availability. 

What you’ll bring to the role & what we’re looking for

• 5-10 years in Channel Enablement or Sales/ Presales Training
• Familiarity and proven understanding of Identity Security and Access Management (IAM)
• Understanding of Quote-to-Cash (QTC) processes and CRM/Partner Portal workflows.
• Strategic Mindset: Proven ability to move a territory from a direct-sales motion to an independent, partner-led model.

Preferred Skills:

• Familiarity with project management methodologies.
• Experience in adult learning principles or certifications 

#LI_P24663

#LI_IG

#LI-Dublin

Okta’s Sales Development Representatives are high energy professionals that drive the demand, awareness, and interest for our market-leading cloud Security solutions. You will partner and collaborate closely with members of our Account Executive and Marketing teams to generate qualified sales leads, set meetings, and yield new deal opportunities. We're looking for professionals with strong organizational and follow up skills who work well in a team

What you'll do:

• Uncover and approach prospects to generate new business opportunities to fuel the
  sales pipeline
• Help create and prioritize strategic target account lists within a defined territory
• Research and build new and existing accounts (i.e.: adding contacts, emails, strategic
  calling)
• Conduct high-level conversations with Senior Executives in prospect accounts
• Evangelize Okta and the On-Demand mode
• Achieve monthly quotas of qualified opportunities and closed business

Who you are:

• Previous prospecting experience
• Experience in working to sales targets, KPIs or under time pressure would be a plus
• Salesforce.com experience
• Excellent written/verbal communication skills
• Strong problem-solving skills
• Highly motivated, driven and self-starting individual who is goal orientated
• Ability to work in a fast-paced, team environment
• Ability to understand customer needs and meet that need with a successful product sale
• Excellent time management/organizational skills
• A passion for the Tech/ Saas industry
• Fluency in German language & English

Why Us? 

• Competitive salary & uncapped commission structure!
• Great benefits including pension & medical
• Catered lunches & snack program
• Okta for Good volunteer program so you can give back to your community
• You’ll attend in-person onboarding in San Francisco to kick off your journey with Okta
• Learn more about our Global xDR team

#LI-ONSITE

P12251_3387469

Okta’s Sales Development Representatives are high energy professionals that drive the demand, awareness, and interest for our market-leading cloud Security solutions. You will partner and collaborate closely with members of our Account Executive and Marketing teams to generate qualified sales leads, set meetings, and yield new deal opportunities. We're looking for professionals with strong organizational and follow up skills who work well in a team

What you'll do:

• Uncover and approach prospects to generate new business opportunities to fuel the
  sales pipeline
• Help create and prioritize strategic target account lists within a defined territory
• Research and build new and existing accounts (i.e.: adding contacts, emails, strategic
  calling)
• Conduct high-level conversations with Senior Executives in prospect accounts
• Evangelize Okta and the On-Demand mode
• Achieve monthly quotas of qualified opportunities and closed business

Who you are:

• Previous prospecting experience
• Experience in working to sales targets, KPIs or under time pressure would be a plus
• Salesforce.com experience
• Excellent written/verbal communication skills
• Strong problem-solving skills
• Highly motivated, driven and self-starting individual who is goal orientated
• Ability to work in a fast-paced, team environment
• Ability to understand customer needs and meet that need with a successful product sale
• Excellent time management/organizational skills
• A passion for the Tech/ Saas industry
• Fluency in German language & English

Why Us? 

• Competitive salary & uncapped commission structure!
• Great benefits including pension & medical
• Catered lunches & snack program
• Okta for Good volunteer program so you can give back to your community
• You’ll attend in-person onboarding in San Francisco to kick off your journey with Okta
• Learn more about our Global xDR team

#LI-ONSITE

P-2032.1_3368680