Staff Engineer Jobs in Germany.

Intercom

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Senior Engineering Manager, Fin AI Agent

Intercom · London, England

Apply now

Engineering Dublin, Ireland London, England Berlin, Germany Posted May 7, 2026

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

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

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

What'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

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

View all jobs →

Principal Engineer, Fin AI Agent

Intercom · Dublin, Ireland

Apply now

AI Group Berlin, Germany Posted May 7, 2026

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

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

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

What'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

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

View all jobs →

Principal Engineer, Fin AI Agent

Intercom · London, England

Apply now

AI Group Berlin, Germany Posted May 7, 2026

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

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

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

What'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

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

View all jobs →

Member of Technical Staff - ML Infrastructure Engineer

Black Forest Labs · Freiburg (Germany), San Francisco (USA)

Apply now

Engineering Freiburg San Francisco Posted May 7, 2026

About Black Forest Labs

We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

You'll design, deploy, and maintain the ML infrastructure backbone that makes frontier AI research possible. This isn't abstract systems work—every decision you make directly impacts whether a multi-week training run succeeds, whether inference stays fast enough for production, whether researchers can iterate quickly or wait hours for resources.

What You’ll Work On

You'll be the person who:

Designs, deploys, and maintains cloud-based ML training clusters (Slurm) and inference clusters (Kubernetes) that researchers and products depend on
Implements and manages network-based cloud file systems and blob/S3 storage solutions optimized for ML workloads at scale
Develops and maintains Infrastructure as Code (IaC) for resource provisioning—because manual configuration doesn't scale and configuration drift breaks things
Implements and optimizes CI/CD pipelines for ML workflows, making it easy for researchers to go from experiment to production
Designs and implements custom autoscaling solutions for ML workloads where standard approaches fall short
Ensures security best practices across the ML infrastructure stack without creating friction that slows down research
Provides developer-friendly tools and practices that make ML operations efficient—because infrastructure that's hard to use doesn't get used

What We’re Looking For

You've built and managed ML infrastructure at scale and understand that supporting AI research is fundamentally different from traditional cloud infrastructure. You've been paged because a training run failed. You've debugged why storage became the bottleneck. You know the difference between infrastructure that works in demos and infrastructure that works when researchers depend on it for months-long experiments.

You likely have:

Strong proficiency in cloud platforms (AWS, Azure, or GCP) with focus on ML/AI services—you know which services matter and which are marketing
Extensive experience with Kubernetes and Slurm cluster management in production environments
Expertise in Infrastructure as Code tools (Terraform, Ansible, etc.) and the discipline to actually use them
Proven track record managing and optimizing network-based cloud file systems and object storage for ML workloads
Experience with CI/CD tools and practices (CircleCI, GitHub Actions, ArgoCD, etc.) in ML contexts
Strong understanding of security principles and best practices in cloud environments—without making security the enemy of velocity
Experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.) that help you understand what's actually happening
Familiarity with ML workflows and GPU infrastructure management—you understand what researchers need
Demonstrated ability to handle complex migrations and breaking changes in production environments without losing data or breaking experiments

We'd be especially excited if you:

Have experience building custom autoscaling solutions for ML workloads that standard tools can't handle
Bring knowledge of cost optimization strategies for cloud-based ML infrastructure (because GPU hours add up)
Are familiar with MLOps practices and tools
Have experience with high-performance computing (HPC) environments
Understand data versioning and experiment tracking for ML
Know network optimization techniques for distributed ML training
Have worked with multi-cloud or hybrid cloud architectures
Are familiar with container security and vulnerability scanning tools

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary: $180,000–$300,000 USD

We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.

Ready to apply?

Apply to Black Forest Labs

Black Forest Labs

View all jobs →

TH

Staff Engineer (gn) - Data & AI Focus

The Quality Group · Deutschland, remote

Apply now

Technology remote, Germany Posted May 7, 2026

Start: Immediately | Level: Mid - Senior | Location: remote, Germany | Working Hours: Full Time (40h/week)

Your next step in the Tech & Engineering team at ESN & More.

As Staff Engineer (gn) - AI & Data Focus, you will help shape our architectural direction, strengthen our engineering foundations, and accelerate the responsible adoption of AI across teams. You work hands-on within your value stream while also contributing broadly across the organization - improving systems, enabling teams, and driving long-term technical impact.
If you enjoy solving complex system challenges, mentoring engineers, and exploring pragmatic AI applications with measurable impact, this role is for you.

To ensure smooth collaboration, we require a current primary residence in Germany for this position.

Your mission

You provide architectural and technical leadership by driving scalable architectures and long-term technical improvements across teams
You support engineers hands-on in designing and implementing high-quality services, distributed systems, and data pipelines
You collaborate closely with Product, Engineering, Data, and other Staff Engineers to align on architectural decisions and technical direction
You evaluate and integrate AI technologies where they strengthen systems, processes, or product capabilities with measurable impact
You enable responsible AI adoption by defining best practices, guidelines, and reusable patterns across engineering
You mentor engineers and drive cross-team alignment while reducing complexity and improving engineering-wide consistency

Your experience & skills

You already work as a Staff Engineer and have impact on department level, not only within your team
You have extensive experience in modern software engineering and distributed systems
You bring strong architectural thinking and can align teams and stakeholders on technical decisions
You have deep experience with event-driven systems, microservices, and AWS-based architectures
You are familiar with data warehouse concepts, data modeling, data governance, data pipelines, and data quality frameworks
You have a solid understanding of AI concepts such as LLMs, embeddings, vector search, agents, and automation patterns
You have experience integrating AI capabilities into existing systems or workflows and assessing feasibility, risk, and impact
You communicate fluently in English; German is a plus

Why choose us?

Being part of our team means joining a high-performing company with a strong and diverse culture. At TQG, you are not just a “super-senior engineer” – you are a force multiplier, influencing how our engineering organization builds systems, scales architecture, and adopts AI responsibly over time.

You can expect meaningful technical ownership, broad organizational impact, and a collaborative environment that values clarity, pragmatism, and continuous learning.

Additionally, you can look forward to:

Flexible working hours and remote work options
Attractive employee discounts
Subsidy for the E-gym Wellpass
Workation
Corporate benefits
28 days vacation/year
and much more

About Us

The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021.

ESN has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise.

TQG’s vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees.

This is us – The Quality Group – nice to meet you! Now it’s your turn!
We look forward to your application! Regardless of gender, age, background, or identity – what matters to us is who you are and what you bring to the table. Join our team and grow with us!

Ready to apply?

Apply to The Quality Group

TH

The Quality Group

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TH

Staff Engineer (gn) - Data & AI Focus

The Quality Group GmbH · Deutschland, remote

Apply now

Technology remote, Germany Posted May 7, 2026

Start: Immediately | Level: Mid - Senior | Location: remote, Germany | Working Hours: Full Time (40h/week)

Your next step in the Tech & Engineering team at ESN & More.

As Staff Engineer (gn) - AI & Data Focus, you will help shape our architectural direction, strengthen our engineering foundations, and accelerate the responsible adoption of AI across teams. You work hands-on within your value stream while also contributing broadly across the organization - improving systems, enabling teams, and driving long-term technical impact.
If you enjoy solving complex system challenges, mentoring engineers, and exploring pragmatic AI applications with measurable impact, this role is for you.

To ensure smooth collaboration, we require a current primary residence in Germany for this position.

Your mission

You provide architectural and technical leadership by driving scalable architectures and long-term technical improvements across teams
You support engineers hands-on in designing and implementing high-quality services, distributed systems, and data pipelines
You collaborate closely with Product, Engineering, Data, and other Staff Engineers to align on architectural decisions and technical direction
You evaluate and integrate AI technologies where they strengthen systems, processes, or product capabilities with measurable impact
You enable responsible AI adoption by defining best practices, guidelines, and reusable patterns across engineering
You mentor engineers and drive cross-team alignment while reducing complexity and improving engineering-wide consistency

Your experience & skills

You already work as a Staff Engineer and have impact on department level, not only within your team
You have extensive experience in modern software engineering and distributed systems
You bring strong architectural thinking and can align teams and stakeholders on technical decisions
You have deep experience with event-driven systems, microservices, and AWS-based architectures
You are familiar with data warehouse concepts, data modeling, data governance, data pipelines, and data quality frameworks
You have a solid understanding of AI concepts such as LLMs, embeddings, vector search, agents, and automation patterns
You have experience integrating AI capabilities into existing systems or workflows and assessing feasibility, risk, and impact
You communicate fluently in English; German is a plus

Why choose us?

Being part of our team means joining a high-performing company with a strong and diverse culture. At TQG, you are not just a “super-senior engineer” – you are a force multiplier, influencing how our engineering organization builds systems, scales architecture, and adopts AI responsibly over time.

You can expect meaningful technical ownership, broad organizational impact, and a collaborative environment that values clarity, pragmatism, and continuous learning.

Additionally, you can look forward to:

Flexible working hours and remote work options
Attractive employee discounts
Subsidy for the E-gym Wellpass
Workation
Corporate benefits
28 days vacation/year
and much more

About Us

The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021.

ESN has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise.

TQG’s vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees.

This is us – The Quality Group – nice to meet you! Now it’s your turn!
We look forward to your application! Regardless of gender, age, background, or identity – what matters to us is who you are and what you bring to the table. Join our team and grow with us!

Ready to apply?

Apply to The Quality Group GmbH

TH

The Quality Group GmbH

View all jobs →

Member of Technical Staff - Infrastructure Engineer

Black Forest Labs · Freiburg (Germany), San Francisco (USA)

Apply now

Engineering Freiburg San Francisco Posted May 6, 2026

About Black Forest Labs

We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

We're looking for engineers to build and maintain the engine that powers our mission to develop visual intelligence. From maintaining and scaling clusters, to building research platforms to accelerate the rate of innovation, this team operates with large breadth and depth. We build the systems to make multi-week/month long training possible, to orchestrate resources at scale, and at the same time efficiently, enabling the next breakthrough model. If you’re obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement, this team would be perfect for you.

What You’ll Work On

Maintain research infrastructure, ensuring health, and optimizing components to extract peak performance from the system (both on application, and infrastructure side)
Scale infrastructure to meet growing research demands while maintaining reliability and performance
Collaborate with research teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.
Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.
Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets.
Participate in on-call rotations and incident response to maintain system reliability

Technical Focus

Python, Bash, Go
Kubernetes
Nvidia GPU drivers, and operators
OTel, Prometheus

What We’re Looking For

Experience building or operating large-scale training platforms
Worked with large scale compute clusters (GPUs)
Proven ability to debug performance and reliability issues across large distributed fleets
Strong problem-solving skills and ability to work independently
Strong communication skills and the ability to work effectively with both internal and external partners
Deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP
Experience with SLURM
Experience building or operating large-scale training platforms

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary: $180,000–$300,000 USD

This role is based in our Freiburg / San Francisco office. We operate a hybrid model and cover reasonable travel costs — relocation is encouraged but not required. We do expect a meaningful in-person presence, and we'll discuss what that looks like for your situation during the process.

Ready to apply?

Apply to Black Forest Labs

Black Forest Labs

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Sr. Staff Design Verification Engineer, Automotive Robotics

Tenstorrent · Munich, Germany

Apply now

Automotive Munich, Germany Posted May 6, 2026

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is looking for a Sr. Design Verification Engineer to lead verification efforts on state of art digital designs. This role owns verification strategy, builds advanced test environments, mentors engineers, and ensures designs are fully tested for functionality, performance, and quality. You will help shape how we verify the compute engines that power the open future of AI and high performance compute.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

Lead the definition and execution of comprehensive verification plans for complex digital blocks and systems.
Drive verification methodologies and strategy across projects, setting best practices and standards.
Build advanced test environments using SystemVerilog and UVM, and execute testbenches, cases, and coverage.
Collaborate with architecture, design, and software teams to align on specifications and debug issues.
Guide and mentor junior engineers, contributing to a high performing verification team.

What We Need

10+ years of industry experience in digital design verification with a strong record of technical leadership.
Deep expertise in SystemVerilog and UVM, along with familiarity with formal verification methods.
Strong understanding of computer architecture, microarchitecture, and SoC integration.
Hands-on experience with tools like Questa, VCS, or similar simulation environments.
Excellent communication skills and the ability to lead cross functional collaboration.

What You Will Learn

Work at the intersection of next gen RISC V CPUs and AI accelerators in a chiplet based architecture.
Influence verification strategy across multiple product lines in a rapidly evolving tech environment.
Collaborate with top tier hardware architects and software teams building full stack solutions.
Gain exposure to silicon bring up, post silicon validation, and end to end product delivery.
Help shape industry leading verification methodologies in a fast paced, innovation first culture.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Ready to apply?

Apply to Tenstorrent

Tenstorrent

View all jobs →

Sr. Staff RTL Engineer, Automotive Robotics

Tenstorrent · Munich, Germany

Apply now

Automotive Munich, Germany Posted May 6, 2026

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

As part of Tenstorrent’s Automotive RTL team, you will help design and deliver the core hardware modules inside our next generation chiplet based SoC. This is a hands on role where your RTL will ship in silicon, powering real automotive systems under strict performance and safety constraints. If you are looking to build silicon that actually matters, not just compile, this is where you want to be.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

Design-first, spec-driven, and used to debugging silicon the hard way.
Know how to translate system requirements into clean, testable RTL.
Have experience writing and maintaining configurable, modular code.
Interested in building silicon that will run critical workloads in safety-sensitive environments.
Background with high-speed die-to-die interfaces preferred (UCIe, BoW, etc).

What We Need

An engineer with 5+ years of experience to develop and own RTL for key modules in Tenstorrent’s automotive SoC chiplets.
Someone who can collaborate with IP vendors and internal teams to configure and integrate complex subsystems.
Detail-oriented in writing microarchitecture specs and translating them into clean, efficient RTL.
Passion to jump into chiplet-level integration, testing, and bring-up from day one.

What You Will Learn

How automotive-grade RTL differs from consumer silicon and why it matters.
What it takes to bring up a custom chiplet in a real automotive use case.
Why chiplets demand more ownership and reward deeper engineering.
How cross-functional communication accelerates hardware development.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Ready to apply?

Apply to Tenstorrent

Tenstorrent

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Staff Backend Engineer - Grafana App Platform | UK | Remote

Grafana Labs · United Kingdom (Remote)

Apply now

R&D: Grafana Germany (Remote) Sweden (Remote) UK (Remote) Ireland (Remote) Spain (Remote) Posted May 6, 2026

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only.

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps.

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences.

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing:

Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
Authoring, contributing to and reviewing design documents
Taking an active role in shaping the roadmap
Mentoring and supporting other team members and collaborating with different teams across the organization
Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

You have strong coding skills and operational experience; you were responsible for operating the software you have built.
You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In UK, the compensation range for this role is £103,958 - £124,750. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Ready to apply?

Grafana Labs

View all jobs →

Staff Backend Engineer - Grafana App Platform | Sweden | Remote

Grafana Labs · Sweden (Remote)

Apply now

R&D: Grafana Germany (Remote) Sweden (Remote) UK (Remote) Ireland (Remote) Spain (Remote) Posted May 6, 2026

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only.

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps.

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences.

In Sweden, the compensation range for this role is SEK 878,578 - SEK 1,054,294. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Ready to apply?

Grafana Labs

View all jobs →

Staff Backend Engineer - Grafana App Platform | Spain | Remote

Grafana Labs · Spain (Remote)

Apply now

R&D: Grafana Germany (Remote) Sweden (Remote) UK (Remote) Ireland (Remote) Spain (Remote) Posted May 6, 2026

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only.

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps.

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences.

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing:

Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
Authoring, contributing to and reviewing design documents
Taking an active role in shaping the roadmap
Mentoring and supporting other team members and collaborating with different teams across the organization
Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

You have strong coding skills and operational experience; you were responsible for operating the software you have built.
You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Spain, the compensation range for this role is €94,025 - €112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Ready to apply?

Grafana Labs

View all jobs →

Staff Backend Engineer - Grafana App Platform | Ireland | Remote

Grafana Labs · Republic of Ireland (Remote)

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R&D: Grafana Germany (Remote) Sweden (Remote) UK (Remote) Ireland (Remote) Spain (Remote) Posted May 6, 2026

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only.

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps.

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences.

In Ireland, the compensation range for this role is EUR 117,600 - EUR 141,120. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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Staff Backend Engineer - Grafana App Platform | Germany | Remote

Grafana Labs · Germany (Remote)

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R&D: Grafana Germany (Remote) Sweden (Remote) UK (Remote) Ireland (Remote) Spain (Remote) Posted May 6, 2026

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only.

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps.

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences.

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing:

Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
Authoring, contributing to and reviewing design documents
Taking an active role in shaping the roadmap
Mentoring and supporting other team members and collaborating with different teams across the organization
Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

You have strong coding skills and operational experience; you were responsible for operating the software you have built.
You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Germany, the compensation range for this role is €109,709 - €131, 651. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

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Staff AI Engineer - Notebooks

Datadog · France, Remote; Germany, Remote; Ireland, Remote; Italy, Remote; Spain, Remote; Switzerland, Remote

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Dev Eng Paris Madrid Lisbon Posted May 5, 2026

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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

What You’ll Do:

Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
Drive product direction with a strong user focus, always advocating for the best end-user experience.
Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

You have a BS/MS/PhD in a scientific field or equivalent experience
10+ years of relevant engineering experience, as well as experience acting as a technical lead
Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
You have significant experience in model deployment, development, training, fine-tuning, and evaluation
You are passionate about mentoring others and cultivating a high-performing engineering culture.
You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

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

Benefits and Growth:

Generous and competitive benefits package
New hire stock equity (RSUs) and employee stock purchase plan
Continuous career development and pathing opportunities
Employee-focused best in class onboarding
Internal mentor and cross-departmental buddy program
Friendly and inclusive workplace culture

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

#LI-Remote

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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Engineering Manager, Observability

Aiven · Berlin, Berlin, Germany

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Product Delivery Germany Posted Apr 29, 2026

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone.

The Role:

We are looking for a skilled Engineering Manager to lead our Observability team. This is a critical role focused on providing observability solutions for all customers.

You will report to the Head of Platform, working closely with your engineering team and product manager to drive revenue through three core responsibilities:

Operational Excellence: Ensure our existing observability offering is up and running all the time.
Customer Satisfaction: Support our existing external customer base by resolving escalated support issues and collaborating with them to understand and solve their needs.
Product Differentiation: Ideate and develop innovative new features that attract our target customer segment, drive product engagement, and ultimately fuel growth.

What You'll Do:

Strategic Planning: Partner with the Product Manager and Domain Head to create the team's roadmap, balancing business growth with essential engineering initiatives. Ability to identify technical debt, and balance innovation with stability is vital.
Project Management: Oversee the team's backlog and projects, providing clear, timely, and actionable updates to stakeholders on progress and potential blockers.
Leadership & Delivery: Champion a culture of urgency and ownership to deliver impactful results. You'll be accountable for the team's delivery in all aspects, including quality, security, and reliability.
Team Enablement: Empower your team to act as "product custodians" by consistently addressing foundational and production issues.
Performance & Development: Provide clear goals and feedback to manage expectations and drive both individual and team performance.
Team Facilitation: Lead team meetings, such as planning sessions and retrospectives, to continuously improve workflows and delivery.
Culture Building: Foster a psychologically safe, high-trust environment where curiosity and healthy debate are encouraged.
Collaboration: Ensure effective communication and collaboration both within the team and across the wider organization.

What We’re Looking For:

Our engineering managers have a hands-on programming background, and we expect them to have a meaningful say in technical conversations. While we typically look for at least five years of hands-on experience and two years in a people leadership role, your accomplishments matter more than years on a resume. Whether you’re a manager with a strong technical core, or a staff engineer looking to dive deeper into people leadership, we want to hear about the products you've shipped, the impact they had, and what you learned along the way.

Leadership skills:

People Leadership: A proven track record of leading diverse teams, from junior to senior engineers, to successfully deliver software products.
Product Thinking: A strong product sense that enables your team to design innovative, cloud-native products that stay ahead of the curve.
Communication: Excellent communication skills in English, with the ability to effectively engage directly with customers.
Adaptability: The ability to bring order and clarity to a dynamic, ambiguous environment, a trait essential in a fast-growing tech company.
Team Building: Experience in recruiting engineering talent and a deep understanding of what it takes to build and retain high-performing teams.
Agile Expertise: Experience with agile software development methodologies.

Technical skills:

Observability: Extensive experience with observability concepts on a big scale. You have an understanding of SLAs, SLOs, and SLIs.
Database Concepts:Strong knowledge of database fundamentals, including OLAP vs. OLTP, persistence, replication, and clustering. Experience with ClickHouse specifically regarding logs, metrics, and OpenTelemetry is highly desirable.
Distributed Systems: Experience in building and designing distributed systems in a cloud environment.
Observability: A good grasp of monitoring and observability tools like Prometheus, Grafana, and OpenTelemetry.
SQL Proficiency: The ability to work with SQL to interact with our platform's master database.
Release & Quality: Deep understanding of release management and testing best practices to own the delivery pipeline.
Problem-Solving: A genuine interest in solving complex technical challenges with customer-focused solutions.

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

Participate in Aiven’s equity plan.
Balance work and life with our hybrid work policy.
Choose the equipment you need to set yourself up for success.
Use your Professional Development Plan budget for learning opportunities.
Receive holistic wellbeing support through our global Employee Assistance Program.
Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person. Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

#LI-Hybrid

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Lead Platform Engineer (m/f/d)

Buynomics · Germany

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Engineering Cologne Posted Apr 29, 2026

About Buynomics:

Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.

Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.

About the role:

Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.

As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.

This role focuses on:

Secure single-tenant deployments in customer-controlled environments (Azure-first)
Kubernetes-based service architecture across clouds
Scalable infrastructure for distributed compute and ML workloads
Infrastructure automation, security, and operational excellence

You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.

Why this role:

Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team

What you'll do:

Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
Build and maintain reusable Infrastructure-as-Code modules (Terraform)
Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
Implement GitOps-based CI/CD and automated environment provisioning
Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
Establish observability standards (structured logging, metrics, distributed tracing, alerting)
Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
Collaborate with engineering teams to define clean service deployment contracts
Define platform standards, architectural decision records, and operational runbooks
Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit

What you'll need:

6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
Experience designing CI/CD and GitOps workflows
Experience operating distributed or high-concurrency workloads
Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
Strong system design skills and ability to operate at Staff-level technical depth
Ability to navigate ambiguity and move initiatives forward independently

Nice-to-Haves:

Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
GPU workload optimization and scheduling
Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
FinOps practices and multi-environment cost governance

What we offer:

Dynamic Environment: Join a truly international and diverse team where your ideas matter.
Flexible Work Model: Enjoy a remote setup with offices located in Cologne.
Learning Budget: Take advantage of our employee development and education budget to enhance your skills.
Local Language Classes: Participate in language lessons to support your integration and personal development.
Urban Sports Club Membership
Deutschlandticket
Personal and professional growth opportunities
Regular company events

To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.

Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.

#LI-Remote

GDPR Data Privacy Notice

By applying for a position at Buynomics, you consent to the processing of your personal data for recruitment purposes. Buynomics will handle your information in accordance with applicable data protection laws, including the GDPR. Your data may be processed through our applicant tracking system, Greenhouse, and used solely to assess your application. We will retain your data only as long as necessary for recruitment purposes or as required by law. You may access, rectify, or request deletion of your data by contacting careers@buynomics.com

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CA

Senior Staff Software Engineer, Agentic Platform

Careers at Tide · Berlin, Germany; Bulgaria; India, Bengaluru; India, Delhi NCR; India, Hyderabad; Lithuania; Serbia; United Kingdom

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One Platform Posted Apr 29, 2026

ABOUT TIDE

At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.

Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.

Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.

Tide facts:

Tide is available for UK, Indian, German and French SMEs
Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
Over $300 million raised in funding
Over 2,500 Tideans globally - we’re diversity champions!
We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT TIDE

At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.

Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.

Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.

Tide facts:

Tide is available for UK, Indian, German and French SMEs
Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
Over $300 million raised in funding
Over 2,500 Tideans globally - we’re diversity champions!
We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.

ABOUT THE ROLE:

Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.

As a Senior Staff Engineer you’ll:

Define the architecture for Tide’s agentic platform
Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
Set standards for reliability, safety, scalability, and developer experience
Provide technical leadership across teams and unblock critical decisions
Implement cost-management and routing logic to optimize LLM spend across different providers
Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

WHAT WE ARE LOOKING FOR:

Deep experience building platform or infrastructure systems at scale
Strong judgement across APIs, distributed systems, data, and cloud-native architecture
Track record of leading complex cross-team technical problems
Experience integrating third-party platforms without losing control of core architecture
Strong understanding of reliability, security, and observability
Experience with AI platform components is valuable, but not essential
Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable

Our Tech Stack:

Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
Docker, Terraform, EKS used by the Cloud team to run the platform
DataDog and Rollbar to keep it running
GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
Angular 2+ with ngrx on Web, Flutter for the Mobile App
Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

TIDE IS A PLACE FOR EVERYONE

At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.

We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.

At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.

Disclaimer

It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that:

Tide does not charge any fees at any stage of the recruitment process.
All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
Communication from Tide will only come from an official @tide.co email address.
Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.

If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.

Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.

Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.

Ready to apply?

Apply to Careers at Tide

CA

Careers at Tide

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CA

Staff Software Engineer, Agentic Platform

Careers at Tide · Berlin, Germany; Bulgaria; India, Bengaluru; India, Delhi NCR; India, Hyderabad; Lithuania; Serbia; United Kingdom

Apply now

One Platform Posted Apr 29, 2026

ABOUT TIDE

At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.

Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.

Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.

Tide facts:

Tide is available for UK, Indian, German and French SMEs
Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
Over $300 million raised in funding
Over 2,500 Tideans globally - we’re diversity champions!
We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration
Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
Work with product, data, platform, and security teams to productionise shared AI capabilities
Design services that are reliable, secure, observable, and easy for other teams to adopt
Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

Strong backend or platform engineering experience in production environments.
Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
Experience integrating internal and third-party platforms.
Comfort working in ambiguity and turning emerging needs into robust platform components.
Strong focus on quality, reliability, and developer usability.
Experience with AI infrastructure or orchestration is helpful, but not essential.
Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
Docker, Terraform, EKS used by the Cloud team to run the platform
DataDog and Rollbar to keep it running
GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
Angular 2+ with ngrx on Web, Flutter for the Mobile App
Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

TIDE IS A PLACE FOR EVERYONE

At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.

We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.

At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.

Disclaimer

It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that:

Tide does not charge any fees at any stage of the recruitment process.
All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
Communication from Tide will only come from an official @tide.co email address.
Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.

If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.

Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.

Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.

Ready to apply?

Apply to Careers at Tide

CA

Careers at Tide

View all jobs →

Staff AI Platform Engineer

Bluefish AI · Berlin, Remote in Germany

Apply now

Engineering Berlin Posted Apr 28, 2026

About the Position:

As a Staff AI Platform Engineer, you’ll play a pivotal role in shaping how AI is adopted and applied across our organization. You’ll be responsible for driving AI-first initiatives that improve developer productivity, streamline workflows, and unlock new product capabilities. This is a highly cross-functional role focused on delivering real business outcomes.

We’re at an early stage in our AI journey. Teams are exploring different approaches, and there is strong curiosity and momentum across the organization. Your role will be to bring structure, standards, and clarity, helping teams use AI effectively and consistently while ensuring solutions scale across the business.

Reporting to the VP of Engineering, you’ll work closely with engineering, product, and leadership teams to identify high-impact use cases, integrate AI into our software development lifecycle, and enable teams to build and ship faster. You’ll also help evaluate emerging technologies, including agentic capabilities, and guide how they can be applied to our products and internal workflows.

Your success will depend on collaboration, influence, and the ability to align teams around practical, measurable solutions. You’ll act as a trusted advisor across the organization, coaching engineers, defining standards, and helping teams adopt AI in a way that improves productivity and delivers meaningful results.

This role is remote in Germany.

What you’ll be doing:

Drive the adoption of AI across the organization by identifying and implementing high-impact use cases that improve developer productivity and operational efficiency.
Integrate AI tooling into the software development lifecycle, enabling faster delivery, improved code quality, and more efficient workflows.
Define standards, guidelines, and best practices for how AI is used across teams to ensure consistency, scalability, and maintainability.
Provide input into the product roadmap based on a deep understanding of evolving AI and agentic technologies, helping the team identify new capabilities and product opportunities.
Work closely with teams to understand their workflows, gather requirements, and prioritize solutions that deliver measurable value.
Establish metrics and feedback mechanisms to evaluate the effectiveness of AI initiatives, including developer productivity and operational impact.
Coach and mentor engineers on how to effectively use AI tools and frameworks in their day-to-day work.
Contribute to building a culture of experimentation, continuous learning, and responsible AI adoption across the organization.

Qualifications:

Strong background in software engineering, platform engineering, developer productivity, or similar roles focused on improving engineering workflows.
Hands-on experience designing and implementing AI-powered applications, automation workflows, or developer tooling.
Experience working in an AI-first or AI-enabled organization.
Experience integrating AI tools or capabilities into real-world engineering processes or products.
Strong system design and architectural thinking, with the ability to balance short-term experimentation with long-term scalability.
Experience working with modern programming languages such as TypeScript or Python.
Experience working with cloud platforms and distributed systems.
Demonstrated ability to gather requirements, prioritize use cases, and measure the impact of technical initiatives.
Strong communication and collaboration skills, with the ability to influence teams and drive adoption across an organization.
Experience working in fast-paced, evolving environments where ambiguity and experimentation are part of the process.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York. 

Why Bluefish & Our Values:

Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
Join an experienced high-performing team where you will have immediate ownership and impact
Experience a true meritocracy with significant career growth upside as the business scales

Our Values:

Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

Ready to apply?

Bluefish AI

View all jobs →

Staff DevOps Engineer

Bluefish AI · Berlin, Remote in Germany

Apply now

Engineering Berlin Posted Apr 28, 2026

About the Position:

As a Staff DevOps Engineer, you’ll take the lead in building and maintaining the cloud infrastructure that powers our products. You’ll be responsible for architecting, implementing, and optimizing scalable, secure, and high-performance systems that support a dynamic and fast-growing tech stack - from React and Next.js applications to Python data pipelines, orchestrated across a complex AWS ecosystem.

This role combines traditional DevOps responsibilities with a strong focus on Release Engineering and infrastructure governance, ensuring reliable and scalable software delivery as we grow. You’ll work closely with cross-functional teams, including engineers and product managers, to streamline development workflows, improve deployment reliability, and ensure system resilience and observability. As the team scales rapidly, you’ll play a key role in defining infrastructure standards, best practices, and policies that enable engineering teams to move fast while maintaining stability and security. You’ll also play a key role in driving information security and compliance initiatives across infrastructure and operations, ensuring that our systems are built with security and regulatory readiness from the ground up.

This role is remote in Germany.

What you’ll be doing:

Design and maintain AWS infrastructure using best practices (e.g., IaC, security, cost optimization, monitoring).
Define and implement infrastructure standards, policies, and governance (e.g., IAM, group permissions, access control)
Develop, operate, and improve CI/CD pipelines using GitHub Actions and other tools to support fast and safe deployment of our applications and services.
Collaborate with engineering teams to define infrastructure requirements and help shape deployment strategies for frontend and backend applications.
Proactively monitor system performance, availability, and reliability. Implement observability tooling and incident response processes.
Automate provisioning, scaling, and recovery of infrastructure using tools like Terraform.
Identify and resolve infrastructure bottlenecks (e.g., database scaling, system performance constraints).
Lead initiatives around infrastructure security and compliance, including access control, vulnerability management, secrets management, encryption, and audit readiness.
Ensure systems meet relevant security and compliance standards (e.g., ISO 27001, SOC 2, GDPR), and support internal and external audits.
Mentor engineers on DevOps best practices, advocate for clean and scalable infrastructure design, and help build a strong engineering culture.

Qualifications:

Proven experience in a DevOps, Site Reliability, or Infrastructure Engineering role, ideally in a startup or product-focused environment.
Deep expertise in AWS services (EC2, ECS, Lambda, RDS, S3, IAM, SQS, SNS etc.) and cloud-native architecture.
Strong experience with CI/CD tools and practices, ideally GitHub Actions.
Proficiency with infrastructure-as-code tools (Terraform) and scripting languages (Python, Bash).
Familiarity with containerization (Docker) and orchestration (ECS/EKS/Kubernetes).
Solid understanding of networking, security best practices, and system performance monitoring.
Experience implementing and managing security controls and compliance requirements (e.g., ISO 27001, GDPR, SOC 2), including hands-on work with identity management, encryption, and audit logging.
Experience supporting modern web stacks, especially applications built with React, Next.js, and Python-based services.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York. 

Why Bluefish & Our Values:

Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
Join an experienced high-performing team where you will have immediate ownership and impact
Experience a true meritocracy with significant career growth upside as the business scales

Our Values:

Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

Ready to apply?

Bluefish AI

View all jobs →

Applied AI Architect, Industries

Anthropic · Munich, Germany

Apply now

Applied AI Munich, Germany Posted Apr 24, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

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

Responsibilities:

Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native German speaker with fluent English proficiency
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

€190.000—€215.000 EUR

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Ready to apply?

Apply to Anthropic

Anthropic

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Applied AI Architect, Partnerships

Anthropic · Munich, Germany

Apply now

Sales Munich, Germany Posted Apr 24, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Ready to apply?

Apply to Anthropic

Anthropic

View all jobs →

Product Manager – Agent Interoperability (ACP)

JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Apply now

AI Assistant - AI Products Posted Apr 22, 2026

At JetBrains, we build developer tools that help engineers stay focused on solving hard problems instead of fighting routine work.

Within JetBrains AI, we are collaborating with Zed on the Agent Client Protocol (ACP), an open protocol that lets AI coding agents work inside editors and IDEs. ACP is already supported in JetBrains AI Assistant, and the project is jointly governed by JetBrains and Zed. We see ACP as a long-term investment in interoperability, developer choice, and durable AI-powered workflows across the JetBrains ecosystem. (The JetBrains Blog).

ACP evolves in the open. Real-time coordination happens in Zulip, actionable work is tracked in GitHub Issues, longer-form discussion happens in GitHub Discussions, and substantial protocol changes move through the RFD process. We need someone who can help JetBrains shape that work from the product side: define the right developer scenarios, align internal and external stakeholders, and turn ecosystem needs into clear priorities for JetBrains and for the protocol. (Agent Client Protocol).

This is not a generalist product management role. It is also not a pure protocol engineering role. It sits between developer-experience product work and protocol evolution.

This role is often a strong fit for someone who has spent several years as a software engineer – ideally on APIs, SDKs, web/backend systems, libraries, frameworks, or platform integrations – and then moved into product management or a hybrid product or engineering role.

This will be an exciting opportunity if you:

Want to shape an open interoperability layer for AI-native software development.
Enjoy turning messy cross-team technical discussions into clear product direction.
Like working with engineers, agent developers, and external partners to make complex systems usable and durable.

In this role, you will:

Identify and prioritize the developer scenarios JetBrains should support through ACP in JetBrains IDEs.
Study how those scenarios are already handled in CLIs and agents, and define coherent IDE-native flows that JetBrains should support.
Work on examples such as plan mode, sub-agent workflows, or agent-to-agent communication, and turn them into clear scenario definitions and product requirements.
Talk to JetBrains product and engineering teams, external agent developers, and partners to collect requirements, constraints, and compatibility concerns.
Turn those inputs into crisp problem statements, GitHub Issues, success criteria, and roadmap priorities.
Partner closely with protocol engineers and ACP maintainers to translate validated scenarios into protocol proposals, implementation requirements, and delivery plans.
Represent JetBrains in regular protocol conversations with Zed and the broader ACP community, helping drive alignment on what belongs in the protocol, what should remain implementation-specific, and what should wait.
Balance immediate JetBrains product needs against long-term protocol design concerns such as extensibility, backward compatibility, clarity, and ecosystem fit.
Define and monitor the right telemetry and product metrics for ACP-related surfaces, including agent installation success, authentication success, protocol feature adoption, task completion, reliability, and developer satisfaction.
Help JetBrains make long-term, product-quality decisions about supporting ACP across multiple IDE experiences.
Communicate decisions, trade-offs, and priorities clearly to highly technical stakeholders inside and outside JetBrains.

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

Have 1-4 years of product management experience, or equivalent end-to-end ownership in a hybrid engineering/product role.
Have a substantial software engineering background and hands-on production coding experience in real systems.
Understand how modern web and integration primitives work in practice, including OAuth, WebSockets, HTTP, JSON-RPC, and service-to-service communication.
Are comfortable reasoning about APIs, protocols, payload schemas, event-driven systems, authentication flows, local/remote execution, and backward compatibility.
Can discuss technical details credibly with engineers and agent developers, even when the conversation goes deep into protocol behavior, edge cases, or extensibility.
Can take raw technical feedback and turn it into clear user scenarios, requirements, issue tickets, and written decisions.
Have strong product judgment and can distinguish between a JetBrains-specific UX choice and a protocol-level capability that should be standardized.
Have a data-driven mindset and know how to combine telemetry, qualitative feedback, and ecosystem signals in product decisions.
Have strong spoken and written English.

We’d be especially thrilled if you:

Previously worked as a senior software engineer, staff engineer, library/framework maintainer, SDK owner, or platform/integration engineer before moving closer to product work.
Have experience with developer tools, IDEs, AI coding agents, CLI workflows, or interoperability layers such as LSP, MCP, or ACP.
Have contributed to open-source projects or standards-like processes.
Are comfortable working in public GitHub workflows with Issues, Discussions, pull requests, and proposal documents.
Have built or supported products where compatibility, extensibility, and future-proofing mattered.
Use JetBrains IDEs regularly.

#LI-KL1

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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Staff Infrastructure Software Engineer (Kubernetes)

Cresta · Romania (Remote)

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Engineering Germany (Remote) Romania (Remote) Posted Apr 21, 2026

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

As a member of the infrastructure team you are responsible for designing, building, and advancing our core infrastructure that allows the engineering team to execute quickly, productively, and securely. You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.

Responsibilities:

Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
Automate operations and engineering. Focus on automation so we can spend energy where it matters.
Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
Deep proficiency with coding languages such as Golang or Python.
Deep familiarity with container-related security best practices.
Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.
Production experience with Kubernetes templating tools such as Helm or Kustomize.
Production experience with IAC tools such as Terraform or CloudFormation.
Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
Production experience with database software such as PostgreSQL
Experience with GitOps tooling such as Flux or Argo.
Experience with CI/CD such as GitHub Actions.

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

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Staff Infrastructure Software Engineer (Kubernetes)

Cresta · Germany (Remote)

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Engineering Germany (Remote) Romania (Remote) Posted Apr 21, 2026

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

As a member of the infrastructure team you are responsible for designing, building, and advancing our core infrastructure that allows the engineering team to execute quickly, productively, and securely. You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.

Responsibilities:

Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
Automate operations and engineering. Focus on automation so we can spend energy where it matters.
Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
Deep proficiency with coding languages such as Golang or Python.
Deep familiarity with container-related security best practices.
Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.
Production experience with Kubernetes templating tools such as Helm or Kustomize.
Production experience with IAC tools such as Terraform or CloudFormation.
Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
Production experience with database software such as PostgreSQL
Experience with GitOps tooling such as Flux or Argo.
Experience with CI/CD such as GitHub Actions.

Perks & Benefits:

Paid parental leave to support you and your family
Monthly Health & Wellness allowance
PTO: 28 days in Berlin

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

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Staff Backend Engineer - Adaptive Telemetry | Germany | Remote

Grafana Labs · Germany (Remote)

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R&D : Databases EMEA Germany (Remote) Sweden (Remote) UK (Remote) Spain (Remote) Posted Apr 21, 2026

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

Staff Backend Engineer - Adaptive Telemetry

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

What is Grafana Cloud?

Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.

What will you be doing:

Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What makes you a great fit:

You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs

Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders.

Compensation & Rewards:

In Germany, the Base compensation range for this role is €106,000 - €127,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

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Senior Engineering Manager, Fin AI Agent

Intercom · Berlin, Germany

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Engineering Dublin, Ireland London, England Berlin, Germany Posted Apr 20, 2026

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

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

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

What's the opportunity?

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

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

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

What will you do?

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

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

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

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

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

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

What are we looking for?

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

Beyond that:

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

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

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

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

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

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

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

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Staff Product Engineer

Intercom · Berlin, Germany

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Engineering Berlin, Germany Posted Apr 17, 2026

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

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

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

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity?

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

Learn more about our engineering culture at intercom.engineering

What will I be doing?

As an experienced engineer you will:

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

What skills do I need?

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

Benefits

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

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

#LI-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

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Staff Product Engineer, AI

Intercom · Berlin, Germany

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AI Group Berlin, Germany Posted Apr 17, 2026

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

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

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

What's the opportunity?

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

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

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

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

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

What will I be doing?

Product Engineers in the AI Group

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

Profile we’re looking for

These are meant to be indicative, not hard requirements.

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

Bonus skills & attributes

Previous experience in data analytics, or statistical role

Benefits

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

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

#LI-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

View all jobs →

Staff Product Engineer, AI

Intercom · Berlin, Germany

Apply now

AI Group Berlin, Germany Posted Apr 17, 2026

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

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

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

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity?

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

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

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

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

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

What will I be doing?

Product Engineers in the AI Group

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

Profile we’re looking for

These are meant to be indicative, not hard requirements.

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

Bonus skills & attributes

Previous experience in data analytics, or statistical role

Benefits

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

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

#LI-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

View all jobs →

Principal Engineer, Fin AI Agent

Intercom · Berlin, Germany

Apply now

AI Group Berlin, Germany Posted Apr 17, 2026

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

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

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

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

#LI-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Ready to apply?

Intercom

View all jobs →

Lead Engineer - Product Delivery (all genders)

GROPYUS · Richen, Baden-Württemberg, Germany

Apply now

Product Delivery GROPYUS Production Richen GmbH Posted Apr 17, 2026

About The Company

GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability.

About the Role:

You will be part of a highly collaborative product team working at the core of our manufacturing facility transforming digital models into physical elements at scale.

Product Teams at GROPYUS own what they build, including underlying infrastructure, build pipelines, automated testing, release and rollout management, monitoring, and support. You will be trusted to solve problems efficiently and effectively building on top of a solid architecture and operational foundation and will be encouraged to seek out under-attended topics and assume responsibility for them both within your product area as well as across product areas.

As a Lead Engineer, you will lead two teams operating cloud software in our Product Delivery area. Your teams will be responsible for building solid integrations and abstractions for external systems like e.g. ERP systems. Furthermore, your team will be responsible for solving overarching planning and orchestrations topics. You will work closely with the other Lead & Staff Engineers, the Head of Engineering as well as Product Managers in the area to define and execute a delivery roadmap and operate the software with your team. You will be the lead for eventually 8 engineers and be responsible for their professional and career development.

With your experience in integrating systems, operating software systems, and balancing operational and feature development work you will help your team to be successful and deliver according to the company's targets.

What you'll be doing:

As a Lead Engineer (f/m/d) on the Product Delivery team, you will be responsible for:

Leading a software development team both disciplinary as well as from delivery roadmap

Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale

Strengthening the Operational mindset in Product Delivery with focus on monitoring, alerting and controlled feature rollout

Acting as a sparring partner for Product Managers and Stakeholders in the area to manage requirements and priorities

Being responsible for delivering features and improvements according to the roadmap and in alignment with Product Management
Supporting your directs in professional and career development based on their strengths and weaknesses in alignment with the team’s and company’s needs

What you bring:

You are an experienced software engineer leader with a strong background in software operations

You possess practical experience in all key areas of modern software development, including infrastructure, observability, testing, deployment pipelines incl. quality assurance, and scaling

You’ve operated and supported large-scale software systems in cloud and non-cloud environments (on-premise)
You’ve worked in companies with strong operational cultures, ideally in logistics or manufacturing – understanding the commercial impact of system downtime
Having experience in integrating external systems like ERP or logistics systems is a plus
You have experience leading and developing engineers at various levels

You are proficient with most of the following technologies:
- Kotlin / SpringBoot
- Kubernetes
- Linux
- PostgreSQL
- BPMN / Optimization is a plus
- Python / Bash is a plus

You bring Cloud Operations experience - Azure is a bonus

You’re familiar with monitoring and alerting practices for production systems

Experience with defining and working with SLAs/SLOs is a bonus

Frequent travel within Germany for in-person team events as well visiting our manufacturing location (every 6 weeks)

What we offer

An unlimited contract with 30 vacation days.

Flexible, hybrid work: You can work from home or come into the office on the schedule that works best for you. Feel like traveling and working from another location? No problem. Tune into meetings and work from abroad for up to 40 days per year. In addition, flex hours allow you to prioritize important moments in your day.

Attractive perks and benefits: We offer a company pension scheme, language courses (English/German), and employee discounts with selected sustainable brands. Furthermore, our external partners in mental health support you in strengthening your mental health through anonymous private/group sessions.

Virtual Shares Program: Participate in the success of GROPYUS through our Virtual Share Program.

Ownership: You can truly make your mark with your work and contributions – on all our organizational levels. Find your solutions, drive and test them.

The chance to be part of something big: Our mission is to rethink an entire industry. Join us in reinventing construction and fostering sustainable, affordable living.

A diverse and enriching work environment: Become a valued member of a wonderfully diverse team of individuals from over 50 countries. At GROPYUS we value inclusion above all, ensuring that everyone feels they belong – no matter their background. In this way, our differences become strengths that help us grow as a team.

Join us on our mission to design buildings as continuously evolving products to create the most exciting and affordable experience for all. We build for people and conserve the resources of our planet.

We can't wait to get to know you.
For more information, visit our website, and if you have any questions, please reach out to us via email.

Ready to apply?

Apply to GROPYUS

GROPYUS

View all jobs →

Lead Engineer - Product Delivery (all genders)

GROPYUS · Richen, Baden-Württemberg, Germany

Apply now

Product Delivery GROPYUS Production Richen GmbH Posted Apr 17, 2026

About The Company

GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability.

About the Role:

You will be part of a highly collaborative product team working at the core of our manufacturing facility transforming digital models into physical elements at scale.

Product Teams at GROPYUS own what they build, including underlying infrastructure, build pipelines, automated testing, release and rollout management, monitoring, and support. You will be trusted to solve problems efficiently and effectively building on top of a solid architecture and operational foundation and will be encouraged to seek out under-attended topics and assume responsibility for them both within your product area as well as across product areas.

As a Lead Engineer, you will lead two teams operating cloud software in our Product Delivery area. Your teams will be responsible for building solid integrations and abstractions for external systems like e.g. ERP systems. Furthermore, your team will be responsible for solving overarching planning and orchestrations topics. You will work closely with the other Lead & Staff Engineers, the Head of Engineering as well as Product Managers in the area to define and execute a delivery roadmap and operate the software with your team. You will be the lead for eventually 8 engineers and be responsible for their professional and career development.

With your experience in integrating systems, operating software systems, and balancing operational and feature development work you will help your team to be successful and deliver according to the company's targets.

What you'll be doing:

As a Lead Engineer (f/m/d) on the Product Delivery team, you will be responsible for:

Leading a software development team both disciplinary as well as from delivery roadmap

Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale

Strengthening the Operational mindset in Product Delivery with focus on monitoring, alerting and controlled feature rollout

Acting as a sparring partner for Product Managers and Stakeholders in the area to manage requirements and priorities

Being responsible for delivering features and improvements according to the roadmap and in alignment with Product Management
Supporting your directs in professional and career development based on their strengths and weaknesses in alignment with the team’s and company’s needs

What you bring:

You are an experienced software engineer leader with a strong background in software operations

You possess practical experience in all key areas of modern software development, including infrastructure, observability, testing, deployment pipelines incl. quality assurance, and scaling

You’ve operated and supported large-scale software systems in cloud and non-cloud environments (on-premise)
You’ve worked in companies with strong operational cultures, ideally in logistics or manufacturing – understanding the commercial impact of system downtime
Having experience in integrating external systems like ERP or logistics systems is a plus
You have experience leading and developing engineers at various levels

You are proficient with most of the following technologies:
- Kotlin / SpringBoot
- Kubernetes
- Linux
- PostgreSQL
- BPMN / Optimization is a plus
- Python / Bash is a plus

You bring Cloud Operations experience - Azure is a bonus

You’re familiar with monitoring and alerting practices for production systems

Experience with defining and working with SLAs/SLOs is a bonus

Frequent travel within Germany for in-person team events as well visiting our manufacturing location (every 6 weeks)

What we offer

An unlimited contract with 30 vacation days.

Flexible, hybrid work: You can work from home or come into the office on the schedule that works best for you. Feel like traveling and working from another location? No problem. Tune into meetings and work from abroad for up to 40 days per year. In addition, flex hours allow you to prioritize important moments in your day.

Attractive perks and benefits: We offer a company pension scheme, language courses (English/German), and employee discounts with selected sustainable brands. Furthermore, our external partners in mental health support you in strengthening your mental health through anonymous private/group sessions.

Virtual Shares Program: Participate in the success of GROPYUS through our Virtual Share Program.

Ownership: You can truly make your mark with your work and contributions – on all our organizational levels. Find your solutions, drive and test them.

The chance to be part of something big: Our mission is to rethink an entire industry. Join us in reinventing construction and fostering sustainable, affordable living.

A diverse and enriching work environment: Become a valued member of a wonderfully diverse team of individuals from over 50 countries. At GROPYUS we value inclusion above all, ensuring that everyone feels they belong – no matter their background. In this way, our differences become strengths that help us grow as a team.

Join us on our mission to design buildings as continuously evolving products to create the most exciting and affordable experience for all. We build for people and conserve the resources of our planet.

We can't wait to get to know you.
For more information, visit our website, and if you have any questions, please reach out to us via email.

Ready to apply?

Apply to GROPYUS

GROPYUS

View all jobs →

Space Systems Engineer, Space Operations

Planet · Berlin, Germany

Apply now

Space Operations Berlin Office Posted Apr 16, 2026

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role:

The Space Operations team is crucial to Planet's success, responsible for maintaining and optimizing the health and productivity of the world's largest Earth Observation satellite constellation. Our team spans North America and Berlin. Given the scale of our fleet, automation is at the heart of our operations. You'll develop and maintain critical software, transforming large datasets into actionable metrics, and streamline key workflows around satellite performance.

As a Space Systems Engineer, you will support daily satellite operations, analyze data, triage and resolve anomalies, run on-orbit experiments, test and deploy software both on the ground and in orbit, and commission satellites. You will work closely with hardware and software experts across teams to debug anomalies, enhance or create services, and provide operational insights to shape our next-generation of satellites. We are looking for a data-driven self-starter with effective communication skills that collaborates well within a technical team and adapts quickly to changing tasks and contexts.

This is a full-time, hybrid role which will require you to work from our Berlin office 3 days per week.

Impact You’ll Own:

Conduct daily fleet checks and support On-Call shifts
Test and deploy flight software upgrades, debug satellite anomalies, and perform on-orbit experiments
Provide feedback to launch, manufacturing, and spacecraft engineering teams based on on-orbit performance, technical demonstrations, and forecasting models
Create and maintain operational procedures
Develop and maintain real-time, mission-critical software solutions for satellite operations
Write scripts to aggregate satellite data and generate system monitoring metrics
Analyze data to identify issues and inefficiencies in the full stack of services and propose solutions
Drive improvements to fleet capacity and productivity through process enhancements
Shape operational strategies for next-generation spacecraft

What You Bring:

4+ years of relevant experience
Bachelor's Degree in an Engineering, Software, or Science related field
Proficiency in software development, particularly in Python or similar languages
Data-driven mindset with experience in statistical analysis
Familiarity with the space environment and its challenges
Proactive approach to engineering and problem-solving
Effective interpersonal and collaboration skills within a technical team
Understanding of DevOps and CI/CD concepts
Experience with Agile software development
Proficiency in DevOps tools and practices (e.g., Git, GitLab, Docker, Jenkins, Bash, Linux, CI/CD, Sentry, Datadog)

What Makes You Stand Out:

Solid command of core spatial concepts, including coordinate reference systems, projections, and transformations, alongside proficiency in geometric operations such as clipping, buffering, and dissolving
Extensive experience working with diverse geospatial data structures and formats, including vector (Shapefile, GeoJSON) and raster ((Geo)TIFF) datasets
Proficiency in industry-standard GIS software and libraries, specifically QGIS and GeoPandas, with a solid understanding of spatial ETL tools like GDAL, Fiona, or Rasterio
Hands-on experience operating spacecraft or remote systems
Experience coordinating resources and projects with multiple engineering teams
Practical expertise in data analysis for problem-solving
Familiarity with automation and optimization tools
Contributions to open-source software projects

Application Deadline:

July 15, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to U.S. and German/EU export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by German, EU, or U.S. authorities.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

Paid time off including vacation, holidays and company-wide days off
Employee Wellness Program
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Volunteering Paid Time Off

San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.

EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.

Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

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Staff Software Engineer | Crypto

Nubank · Canada, Toronto; USA, Durham; USA, Miami; USA, Palo Alto; USA, Washington DC

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Engineer USA Canada Germany Posted Apr 15, 2026

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

Crypto is the engine behind our expansion to provide borderless, crypto-based financial services. We are building a world where any user can open an account to send and receive money globally without the friction of traditional banking.

You will join a high-impact team expanding Nubank’s security and scale into the crypto market. Whether focusing on our core brokerage platform or fast-paced product iteration, your work will directly enable millions of users to engage with digital assets safely. This role is for those eager to solve complex architectural tradeoffs and redefine the boundaries of global money.

Responsibilities

Architect scalable systems for the Crypto department, ensuring robust integration between crypto brokerage and core banking.
Lead the technical design of global features, managing complex tradeoffs between system performance and security.
Manage assets under custody and brokerage platforms to ensure high availability for global crypto transactions.
Partner with product teams to iterate on trading experiences, specifically tailored for high-engagement crypto profiles.
Mentor and influence engineering teams across the organization to uphold high standards of technical excellence.
Optimize global money movement solutions to provide free, real-time cross-border transactions for our users.

Required Qualifications

Track record of leading technical architecture in Staff or Lead Engineer capacities within complex software environments.
Demonstrated expertise in system design, with a focus on analyzing tradeoffs and long-term scalability.
Experience in high-stakes industries such as FinTech, Payments, or Core Banking systems.
Evidence of building and shipping high-throughput, distributed systems in a collaborative environment.
Strong commitment to learning and implementing crypto-based technologies and blockchain fundamentals.

Nice to Have

Prior experience in a crypto exchange or crypto-native company
Practical experience with Solidity or smart contract development.
Background in crypto trading or deep understanding of digital asset markets.

Location & Work Model This role is based in Toronto, Canada; or Durham, Palo Alto, or Miami, USA, on a hybrid model (2x/week) at our local offices.

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Staff Fullstack Engineer

Bluefish AI · Berlin, Remote in Germany

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Engineering Berlin Posted Apr 14, 2026

About the Position

We are looking for a Staff Full-Stack Engineer who thrives at the intersection of product, infrastructure, and AI-driven development. In this role, you will lead the architecture and evolution of scalable web applications while shaping the long-term technical foundation of Bluefish’s AI marketing platform.

You will operate across teams, partnering closely with AI engineers, product managers, designers, and infrastructure engineers to translate ambiguous product ideas into robust, scalable systems. Beyond building features, you will define architectural patterns, guide technical direction, and ensure that engineering decisions scale with the company’s growth.

We’re looking for someone with a strong product and systems mindset who focuses on delivering durable solutions and measurable customer impact.

As a technical leader within the engineering organization, you will elevate engineering practices across teams, leading design reviews, mentoring senior engineers, and establishing standards that enable teams to move quickly while maintaining reliability and quality.

This role offers the opportunity to shape the architecture of core systems, influence company-wide technical strategy, and define how AI-assisted development powers the next generation of marketing technology.

The role is linked with our office in Berlin, but we offer remote work in Germany.

What You’ll Be Doing

Lead the architecture and evolution of core product systems, ensuring scalability, reliability, and maintainability as the platform grows.
Drive cross-team technical initiatives, aligning engineers across services and product surfaces around clear architectural direction and engineering standards.
Translate ambiguous product ideas into scalable technical solutions, making pragmatic trade-offs across performance, complexity, cost, and time-to-market.
Establish and uphold engineering standards across the stack, including testing strategies, observability practices, API contracts, and spec-driven development.
Lead system scaling initiatives to support orders of magnitude growth, identifying architectural bottlenecks, redesigning critical paths, and proactively strengthening infrastructure.
Partner deeply with AI engineers, product managers, designers, and DevOps to ensure technical decisions drive meaningful product outcomes.
Multiply engineering impact across the organization through architecture reviews, mentoring senior engineers, documenting patterns, and improving development workflows.
Guide adoption of emerging technologies in GenAI, LLMs, GEO, and AI-driven marketing, turning emerging capabilities into concrete product and technical bets.

Qualifications

8+ years building and operating production full-stack systems, with demonstrated ownership of large-scale architectural decisions or platform initiatives.
Deep expertise with TypeScript and React, shipping production systems end-to-end. Experience or willingness to code with Python is required.
Strong track record of system design and data modeling, with experience designing architectures that scale across teams and services.
Fluent in AI-assisted development, leveraging LLM tooling to accelerate delivery while maintaining architectural integrity and code quality.
Experience designing and operating AWS infrastructure using Terraform, with strong focus on security, cost-efficiency, and operational reliability.
Experience building or maintaining systems operating on large datasets or high-volume event streams
Proven ability to build high-throughput, fault-tolerant APIs, with expertise in query optimization, indexing strategies, and scalable data access patterns.
Deep experience with observability and operational maturity, including SLIs/SLOs, distributed tracing, structured logging, and incident response.
Demonstrated ability to lead technically, influencing engineering direction across multiple teams.
Strong product mindset, partnering with product leaders to translate business goals into technical roadmaps and pragmatic system designs.
Excellent communication skills, with the ability to explain complex technical concepts to both engineers and non-technical stakeholders.

Nice to have

Experience working within a monorepo architecture
Experience building LLM-powered products or AI-driven developer workflows

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York. 

Why Bluefish & Our Values:

Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
Join an experienced high-performing team where you will have immediate ownership and impact
Experience a true meritocracy with significant career growth upside as the business scales

Our Values:

Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

Ready to apply?

Bluefish AI

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Staff AI Engineer

Bluefish AI · Berlin - Remote in Germany

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Engineering Berlin Posted Apr 14, 2026

About the Position

As a Staff AI Engineer, you’ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You’ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You’ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You’ll raise the bar for data literacy across the department, craft and collaboration.

You’ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.

This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

The role is linked with our location in Berlin, but we are flexible about remote work in Germany.

What You’ll Be Doing

Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.
Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.
Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.
Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.
Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.
Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.
Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.
Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.

Qualifications

8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale.
Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.
Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.
Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.
Strong analytical and problem-solving abilities, with a bias towards action and outcomes. Experience with data preprocessing, feature engineering, and model evaluation techniques.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York. 

Why Bluefish & Our Values:

Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI
Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry
Join an experienced high-performing team where you will have immediate ownership and impact
Experience a true meritocracy with significant career growth upside as the business scales

Our Values:

Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

Ready to apply?