What's the opportunity?

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

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

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

What will you do?

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

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

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

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

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

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

What are we looking for?

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

Beyond that:

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

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

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

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

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

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

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

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

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

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

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

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

What are we looking for?

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

Beyond that:

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

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

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

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

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

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

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

What are we looking for?

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

Beyond that:

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

What are we looking for?

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

Beyond that:

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

The role in a nutshell:

We’re looking for a Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact.

What you’ll do:

• Be the frontline agent: Triage, investigate, reproduce, manage, and annihilate complex customer issues involving Chainguard Images.
• Escalate wisely: Engage the Engineering team when things get spicy.
• Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed.
• Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans.
• Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix.
• Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution.
• Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams.
• Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick.
• Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support.
  
  

What we're looking for:

• You’ve spent 3+ years supporting enterprise customers with a confident, calm approach.
• 3+ years under your belt with Linux, Docker and Kubernetes. You dream in containers.
• You deliver top-tier customer experiences with stellar written and verbal communication.
• You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more.
• You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff.
• Experience with AWS, Azure, or GCP; AWS EKS experience is a plus.
• Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning.
• Extra kudos if you bring a KCNA or CKA certification and aspire to be a future Kubestronaut.
• Startup experience? Even better.  You’ve navigated fast lanes before.

A curious soul who learns faster than a caffeinated squirrel.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

#LI-HYBRID #LI-EY1

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team collaboration, and organizational control into a single coherent system. This platform serves as the execution and governance layer for AI-driven development and is deeply integrated with JetBrains tools and designed to work across teams, products, and environments.

As part of this vision, we’re building AI governance capabilities into JetBrains Console that help organizations manage, observe, and understand AI usage across their teams. Our AI analytics give company admins and decision-makers visibility into adoption, usage, cost, and the impact of AI agent development.

We’re looking for a Senior Product Manager to lead the vision and execution for customer-facing AI analytics as part of our AI governance product. This is one of the most valuable areas of the platform – it helps organizations understand how AI is being adopted across JetBrains products and third-party AI tools, how it affects developer workflows, where friction exists, and how to make better decisions about rollout, budgets, limits, and tooling. 

In this role, you will:

• Own the product roadmap for AI analytics within JetBrains Console.
• Drive product discovery using customer research, product telemetry, usage data, and feedback from Sales, Customer Success, and other customer-facing teams.
• Define and develop analytics experiences across adoption, usage, cost, activity, and impact.
• Identify, define, and improve the product metrics behind our analytics, ensuring they are meaningful, trustworthy, and actionable for customers.
• Generate, prioritize, and validate hypotheses through research, data analysis, and experimentation.
• Work closely with engineering, design, and data warehouse teams to define problems, shape solutions, and iterate quickly.
• Collaborate with adjacent product teams across AI, IDEs, licensing, and administration to build coherent customer experiences.
• Help shape the next generation of analytics capabilities, including deeper dashboards, segmentation, and API-enabled access to analytics data.

We’ll be happy to have you on our team if you:

• Have 5+ years of product management experience, ideally in B2B or enterprise software.
• Have experience building analytics, observability, reporting, or admin-facing products.
• Have a technical background or hands-on experience with software development.
• Are familiar with modern software development practices and developer workflows.
• Have a strong understanding of product metrics, telemetry, and data-informed decision-making.
• Are comfortable working with technical products and engineering-heavy teams.
• Are proficient in English, with strong written and spoken communication skills.

We'd be especially thrilled if you have:

• Experience in AI products for developers, governance, compliance, or usage-based platforms.
• Experience building products for software teams, engineering organizations, or technical decision-makers.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID - if you want LinkedIn to post your role as hybrid in all the locations where the role is open ---> leave this tag in JD
#LI-AA1 

You can make the tag invisible on the job post by making the color of the tag white, for this go to ---> Format - Text color and choose white colour for your tag(s)

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

About the role

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development. It will be deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We are now looking for a Senior Product Leader to own and drive the development of our enterprise agent platform, including seat-based governance, ROI/TCO dials on AI spend, hybrid cloud support, and public APIs. This role requires someone who has operated at large tech scale (e.g. M2/L7+) or as a VP of Product in a high-growth B2B startup, and who can combine long-term platform vision with disciplined, incremental delivery.

You will partner across engineering, design, go-to-market, legal, and customer success to define, prioritize, and deliver capabilities that make our platform the operational backbone for hybrid and cloud-native adoption at scale.

In this role, you will:

• Define and execute the roadmap for the platform’s control and execution planes.
  
  
• Lead the development of key platform primitives and console UX.
  
  
• Shape hybrid cloud and enterprise readiness capabilities.
  
  
• Define and deliver public APIs for enterprise extensibility.
  
  
• Align cross-functional teams around priorities and measurable outcomes.
  
  
• Engage directly with strategic customers and design partners at the VP+ level.
  
  
• Define KPIs and drive disciplined execution.

We will be happy to have you on our team if you are:

• A senior product leader with C-suite accountability.
  
  
• Experienced in building platform, governance, or developer tooling products.
  
  
• Strong in both strategy and execution, with no tendency toward “big bang” thinking.
  
  
• Comfortable working with enterprise customers and hybrid environments.
  
  
• An excellent communicator and cross-functional leader.
  
  
• Data-driven and outcome-oriented.

We would be especially thrilled if you have:

• Experience with RBAC/ABAC or multi-tenant systems.
  
  
• A background in hybrid/cloud SaaS.
  
  
• Experience running design partner programs.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID 
#LI-AA1

Team

Are you an active listener, think in a solution-oriented way and really want to help customers?

Become part of our Customer Service team at Raisin - and support us as a Junior Customer Service Agent in providing our customers with a first-class experience. Our 1st level Customer Service team supports our Dutch-speaking customers mainly inbound by phone and email (in future also via live chat) with all matters relating to our financial products. For legal reasons, we are not allowed to provide investment advice, so our customer contacts focus on service, not sales.

If you want to develop your career and work in an internationally oriented FinTech company, we want to hear from you!

Your Responsibilities

• Quickly become an expert for our products and processes, you are the contact person for our customers.
• With your communication skills, you will independently handle customer inquiries by phone and in writing.
• You work closely with other colleagues from customer service and Raisin's departments and stakeholders.
• You inspire with your friendly manner and our customers feel in good hands with you, which contributes to customer enthusiasm.
• You professionally handle inquiries regarding the account opening and investment process up to basic tax issues.
• You contribute to making the use of our platform a positive customer experience.
• You develop and implement your own ideas for optimizing work processes.

Your Profile

• You speak Dutch at C2 level, both written and spoken and have a good command of English.
• Professional experience in customer service or customer support is desirable, regardless of industry.
• Strong communicators who want to help customers via telephone with words and deeds are also welcome.
• You enjoy dealing with people, you are able to handle several tasks simultaneously under pressure while setting appropriate priorities.
• You are interested in complex topics and in modern finance and capital markets.
• You have high expectations of your work and maintain an overview even in hectic times.
• You are confident using tools like Microsoft Office and Google Workspace and learn new systems quickly.

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Team

Process Knowledge Management (PKM) at Raisin owns all operational knowledge and  documentation, as well as maintains and continuously improves existing processes, supporting scalable operations by integrating insights from other CS teams Q. Working closely with Process Design & Innovation, PKM provides deep area expertise during the design and rollout of new processes and takes ownership once they move into long-term use.
The team combines domain knowledge, structured process thinking  and AI-supported content creation to ensure that CS at Raisin operates with clear, simple and reliable processes .

Your Responsibilities

This role sits in a growing and evolving area of the business. As the Subject Matter Expert for Investment & Pension Products (IPP) within CS. You will be expected to understand customer and agent journeys, identifying friction points, and translating complex investment and pension topics into clear, usable, and compliant processes and communication. We’re looking for someone with a background in customer experience within investment and pension products, who is a self-starter who enjoys learning, problem solving and continuous improvement.

• Own knowledge, documentation and process management for Investment & Pension Products (IPP) within CS.ct as the main point of contact for the IPP area and ensure alignment with internal CS teams, external partners and Product teams.
• Drive regular agent-shadowing and data-gathering agenda to understand operational challenges, capture insights and translate them into process and documentation improvements.
• Proactively improve, simplify and standardize  content, leveraging AI-supported tooling.
• Own and maintain customer-facing knowledge and documentation for IPP, to support self-service and ticket deflection
• Independently assess, prioritize, and handle requests from internal and external stakeholders in an environment with evolving requirements.
• Support audit-related activities and maintain compliance documentation related to IPP.
• Contribute IPP expertise to PDI-led projects by supporting the research, design, documentation, and rollout of new or revised processes, ensuring alignment with operational constraints  and long-term sustainability.
• Lead the deployment of Lean ways-of-working in the IPP area CS organization.
• Own IPP CS feature requests to Product, ensuring business impact and operational needs are clearly represented.
• Own projects and responsibilities end-to-end from problem discovery and analysis through solution design, rollout and team adoption.

Your Profile

• Background in finance,banking or financial services - ideally with exposure to investment and pension products.
• Experience in customer experience, operations or process management, preferably in a regulated environment.
• Strong ability to translate complex product or regulatory topics into clear, practical guidance.
• Confident stakeholder management skills across operational, product, and compliance-focused teams, as well as external partners.
• Comfortable taking ownership and driving initiatives independently.
• Project management skills with experience in owning initiatives end-to-end.
• Interest in automation and AI, with a curiosity to apply new tools.
• Analytical, structured and improvement-oriented mindset.

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Team

Process & Knowledge Management (PKM) ensures that Customer Service operates with clear, simple, and sustainable processes. The team owns operational knowledge across CS and partners closely with Process Design & Innovation (PDI) to support the full lifecycle of process design, rollout, stabilization, and long-term maintenance.

Within PKM, the Tooling & Agent Experience SME focuses on the systems and automation layer that enables CS processes,  ensuring that Zendesk, CAP, chatbot solutions, and AI-driven tooling effectively support both agents and customers. This is a newly evolving area within PKM and plays a central role in strengthening CS efficiency, automation, and scalability.

Your Responsibilities

Core Responsibility

Own the tooling and system experience within Customer Service, ensuring that CS platforms, automation solutions, and AI-driven tools effectively support operational processes, agent productivity, and customer self-service.

Process & Tooling Design Partnership

• Contribute tooling and system expertise to PDI-led initiatives, ensuring that new or revised processes are supported by scalable and sustainable system configurations.
• Translate process requirements into tooling configurations and system enhancements in collaboration with Product & Engineering (P&E).
• Partner closely with regional SMEs (e.g., DEU, UK) to ensure system changes are aligned with updated Work Instructions and domain-specific documentation prior to rollout.
• Support rollout readiness together with domain SMEs by validating that tooling changes are configured, tested, and operationally understood before go-live.

System Evolution & Continuous Improvement

• Lead the evolutionary maintenance of Zendesk, CAP, and related CS systems, partnering with Product Teams to continuously improve configurations, workflows, and automation rules.
• Deploy and maintain AI-driven solutions, including chatbots and ticket deflection tools, ensuring alignment with CS knowledge and operational needs.
• Monitor system usage data and analytics to identify friction points, inefficiencies, and automation opportunities.
• Prioritize and own CS feature requests to Product ensuring business impact and agent experience are clearly represented.
• Represent CS tooling needs in cross-functional discussions with Product, Engineering, and Steering teams.
• Drive improvements that enhance agent experience, reduce manual effort, and increase self-service adoption.

Your Profile

• Background in operations, customer experience, tooling, or system configuration within financial services (experience in regulated environments is a strong advantage).
• Strong understanding of customer service systems such as Zendesk, CRM platforms, ticketing tools, or similar environments.
• Experience translating operational needs into system configurations and automation logic.
• Confident stakeholder management skills across operational, product, engineering, and compliance-focused teams.
• Comfortable taking ownership and driving initiatives independently in a cross-functional environment.
• Project management skills with experience leading initiatives end-to-end.
• Strong interest in automation and AI, with hands-on curiosity to apply new tools and optimize workflows.
• Analytical, structured, and improvement-oriented mindset with a strong focus on agent experience and scalability.

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production and free developers to focus on creativity and problem-solving.

The IntelliJ AI team develops the AI-specific core of JetBrains IDEs. We work on agentic workflows, intelligent editing assistance, and new AI-powered capabilities that redefine how developers interact with the IDEs.

We are looking for a Senior Software Developer to help us build the next generation of AI-powered features in JetBrains IDEs.

In this role, you will:

• Integrate state-of-the-art AI agents into our IDEs, continuously improving the developer experience of working with them.
• Enhance agent capabilities by equipping them with the most intelligent tools available in our IDEs.
• Create novel AI features with no direct market analogues, experimenting with and exploring the new possibilities brought by modern AI technologies.
• Measure and evaluate the performance of agents and other AI features to achieve reliability and reproducibility.

We are looking for engineers who:

• Want to help build the best IDEs in the world and push the boundaries of developer tools.
• Have strong knowledge of Java, Kotlin, or similar languages.
• Are comfortable designing and developing complex software systems.
• Are self-driven and able to take end-to-end ownership of challenging features.
• Possess strong communication skills in English, both written and verbal.

Experience that would be especially valuable:

• Building AI-powered features, especially with LLM-based systems.
• Developing IDEs, code editors, or complex desktop applications.
• Working on performance-sensitive or correctness-critical systems.
• Concurrent programming and performance optimization.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.
  *Some benefits may vary depending on location.

#LI-IM1

At JetBrains, code is our passion. Ever since we started in 2000, we have strived to make the strongest, most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

We are looking for a talented Full Stack Engineer to join our team and help build an innovative agentic-driven product. In this role, you’ll work across the entire stack – frontend, backend, and cloud infrastructure – designing, developing, and maintaining high-quality features. You’ll collaborate closely with product managers, designers, fellow engineers and AI-agents to deliver scalable, reliable, and user-friendly solutions.

Our tech stack:

• Primary: TypeScript, Node.JS, Nest.JS, React, Vitest (no legacy tech)
• Secondary: Kotlin/Java (for some backend services)

In this role, you will: 

• Design, develop, and maintain end-to-end features across the frontend and backend.
• Collaborate with product and design teams to translate user needs into technical solutions.
• Write clean, efficient, and well-documented code.
• Integrate our product with internal and external APIs and services.
• Contribute to architecture decisions, scalability, and performance improvements.
• Participate in code reviews to ensure quality and best practices.
• Debug, troubleshoot, and resolve issues quickly.
• Optimize applications for speed, usability, and scalability.
• Stay up to date with emerging technologies, tools, and industry trends.
• Continuously improve development processes and practices.

We will be happy to have you on our team if you have: 

• 6+ years of proven experience as a Full Stack Engineer or in a similar role.
• Solid engineering and architecture skills and ability to build reliable solutions.
• Focus on customer-oriented delivery and understanding of user needs and requirements.
• Deep understanding of backend & frontend development.
• Proficiency in multiple programming languages (e.g. TypeScript, Kotlin, Java, Python).
• Experience with relational and/or NoSQL databases (e.g. PostgreSQL, MongoDB, and MySQL).
• Understanding of cloud platforms (e.g. AWS, GCP, or Azure) and containerization (Docker or Kubernetes).
• Proficiency with version control systems (e.g. Git).
• Experience with testing frameworks (e.g. Jest, Vitest, and Playwright).
• Familiarity with authentication, authorization, and security best practices.
• Experience with AI agent development
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• A bachelor’s degree in computer science or engineering (or equivalent practical experience).

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.
  *Some benefits may vary depending on location.

#LI-IM1

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'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

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

#LI-Hybrid

What's the opportunity?

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

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

At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.

The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.

As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.

As part of our team, you will:

Build tools for agentic error analysis

• Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
• Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.

Build evaluation pipelines

• Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
• Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
• Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.

Research methods for improving agent and model behavior on Kotlin

• Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
• Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
• Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
• Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.

Build public Kotlin benchmarks

• Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
• Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
• Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
• Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.

We'll be happy to have you on board if you have:

• Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
• Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
• Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
• The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
• A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
• Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).

Our ideal candidate would also have experience with:

• Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
• Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
• AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
• Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
• Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
• The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
• Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.

Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI