Are you excited about building the systems that keep Wolt running for millions of customers every day?

We’re looking for a pragmatic, product-minded Backend Engineer with strong skills in Python or Go to join our Consumer Platform team – the group behind the core infrastructure and reliability that make Wolt fast, stable, and scalable.

This is a role at the intersection of backend engineering, platform thinking, and reliability. You’ll work on the systems that power critical purchase flows and the foundations that other teams build on, shaping how Wolt performs at scale.

What you’ll be doing

Day-to-day in this role, you’ll:

• Build and operate high-throughput backend services in Python and Go
• Work across the full development lifecycle, from system design to deployment and monitoring
• Improve the scalability and reliability of Wolt’s core platform
• Design and develop shared services, internal tooling, and platform-level capabilities used across teams
• Drive cross-team initiatives that raise engineering standards and system resilience
• Collaborate with product teams and other engineering groups to support critical consumer-facing flows

Why this role

• Work on the backbone of Wolt: Consumer Platform sits at the core of Wolt’s engineering organization. The systems you build power everything from purchase flows to platform-wide reliability, with direct impact on millions of users.
• An AI-first engineering team: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
• High-impact, cross-team work: This team is known for driving initiatives that span across Wolt. Recent work includes scaling the purchase core to support split payments, building API gateway capabilities for critical flows, and improving reliability standards across the platform.
• A small team with high leverage: You’ll work in a focused, experienced team where engineers take ownership, move quickly, and influence both technical direction and platform strategy.

AI-First Engineering in Consumer Platform

We’re building platform teams at the forefront of agentic software development. This goes beyond code generation. We’re interested in engineers who:

• Design workflows where AI agents assist or own parts of the development loop
• Think critically about what should be automated versus human-reviewed
• Build tooling and abstractions that make AI-assisted backend development safer and more effective
• Stay curious about new models, tools, and approaches, and form strong opinions on what actually works

If you find yourself asking “how should this system be built with AI in mind?” you’ll fit right in!

Our Tech Stack

Python, Go, MongoDB, Redis, Kubernetes, AWS, Datadog, CI/CD pipelines

What we’re looking for

• Strong backend fundamentals: Experience building production-grade backend services using Python, Go, or similar languages.
• AI-first development mindset: You use AI tools in your daily workflow and think critically about how they improve how you build, debug, and design systems.
• Experience at scale: You’ve worked on high-traffic production systems and understand the challenges of reliability, performance, and scalability.
• System design thinking: You have solid fundamentals in designing distributed systems and care about efficiency, robustness, and maintainability.
• End-to-end ownership mindset: You take responsibility beyond implementation, from shaping solutions to ensuring systems are stable, observable, and production-ready.
• Ability to work independently and drive projects: You’re comfortable owning work end-to-end, navigating ambiguity, and moving initiatives forward with minimal guidance.
• Collaboration and communication: You work effectively across teams and communicate clearly in multi-team engineering environments.
• Reliability and operational awareness: Experience with observability, on-call practices, or reliability engineering is a plus.
• Platform and tooling exposure: Experience contributing to shared systems, internal tooling, or platform engineering initiatives is a plus.

About You 

• You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends.
• What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work.
• You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through.

Where you'll work

These roles are based in our tech hubs in Helsinki, Berlin OR Stockholm.

Next steps

We’re reviewing applications on a rolling basis, and the role will be filled as soon as we find the right person, so don’t wait!

The hiring process typically includes a conversation with the Talent Acquisition Partner, followed by technical interviews, a team chat, and a final decision.

The Role

We are looking for an outstanding Integrations Developer for Recorded Future’s Integrations team. You will be joining a group of talented developers that share a common interest in making Recorded Future’s data available in various other systems and platforms. The core focus for this role is the integrations between the Recorded Future platform and the tools used by organizations to protect their IT infrastructure. Some examples of such tools are SIEM systems (e.g. Splunk, and Google SecOps), SOAR systems (e.g.  Splunk SOAR, XSOAR), Incident Response systems (e.g. ServiceNow), or TIPs (e.g MISP). We’re the bridge between our data and our client’s systems. We’re a full-cycle/full-stack development team - meaning that you will be part of the complete life cycle of integration from concept and design to implementation, maintenance, and eventually end-of-life. 

What You'll Do

• Own and drive Integrations development work with the main focus on the security and threat intelligence space
• Continuously design, develop and deploy integration services focusing on high availability, excellent quality, low latency, and performance.
• Testing methodologies for automated build and test pipelines
• Troubleshoot and resolve customer issues (third-line support)
• Support driving improvements, strategy, and collaboration across teams.

What You'll Bring

• Advanced understanding of working with APIs in various environments
• Passion for and experience in robust multi-platform code development
• Fluency in multiple programming languages, primarily Python and Javascript
• Ability to work from high-level architecture design down to efficient code
• Knowledge and curiosity on how integration platforms work and how a platform expects integrations to integrate
• Experience with Linux
• Ability to take the initiative and collaborate across teams
• Ability to work in a fast-paced environment
• Relevant education or experience

You should also love new stuff! At Recorded Future, you will get a chance to play with new technology, evaluate it, and see what’s most appropriate for solving real-world problems. You have at least a couple of years of coding experience. You are a self-starter and have excellent communication skills.

Preferred Qualifications

• Cyber Security / Threat Intelligence education and experience
• A good understanding of system design, data structures, and algorithms
• Experience in working with test frameworks (e.g., pytest, selenium)
• Knowledge of CI/CD in github
• Experience working with Splunk, XSOAR, ServiceNow, or any other system in the Security or Threat Intelligence space
• Comfortable working in global and remote teams

Recorded Future is looking for a Security Engineer, Product Security to be a vital member of the Product Security team, dedicated to supporting all facets and functions of Product Security across Recorded Future. This role is highly collaborative and technical, demanding a proactive approach to embedding security throughout the product development lifecycle and operational processes. The core mission is to safeguard our product and infrastructure through a blend of preventative design, responsive investigation, and continuous improvement of security controls.

What You’ll Do:

• Design and Implement Security Solutions: Take ownership of designing, building, and deploying robust, scalable security solutions and infrastructure components. This involves selecting, configuring, and integrating security tools and technologies that enhance the overall security posture of our products and platform, ensuring security is "baked in," not "bolted on."
• Threat Detection and Response: Actively participate in the monitoring, investigation, and triage of complex security alerts and incidents. You will be responsible for developing, writing, and continuously fine-tuning automated alert systems and detection rules (e.g., in SIEM/SOAR platforms) to improve signal-to-noise ratio and accelerate the response time to potential threats.
• Security Architecture and Design Review: Serve as a security subject matter expert during the product development process. Conduct comprehensive security reviews, threat modeling, and risk assessments for all proposed new features, architectural changes, and major system updates. Provide actionable feedback to engineering teams to ensure designs meet stringent security standards and comply with internal policies and external regulations.
• Engineering Collaboration and Guidance: Work hand-in-hand with software engineers, DevOps teams, and product managers across the organization. You will offer expert security guidance, answer complex security-related questions, troubleshoot implementation issues, and mentor engineers on secure coding practices and security design principles, fostering a culture of security awareness.
• Platform Security Team Participation: Contribute to the Platform Security team's daily operational tasks, including maintaining security documentation, managing security-related tickets, participating in on-call rotations as required, and driving initiatives to improve team processes and efficiency.

What You’ll Bring:

• 3+ years of proven relevant professional experience
• Strong foundational knowledge of computer security principles
• Background in coding/scripting is desired, preferably Go and/or Python
• Cloud security knowledge is desired, preferably AWS or GCP
• A keen interest in finding and balancing security needs with developer productivity
• Excellent communication skills and the ability to effectively build relationships across different teams
• A strong ability to assess risks and make informed decisions
• Proficient in network protocols, including TCP/IP, HTTP, REST, and GraphQL

We are looking for an outstanding Software Engineer for Recorded Future’s Integrations team. You will be joining a group of talented developers that share a common interest in making Recorded Future’s data available in various other systems and platforms. The core focus for the team you will be joining is the enablement of integrations between the Recorded Future platform and the tools used by organizations to protect their IT infrastructure. Some examples of such tools are SIEM systems (e.g. Splunk, and Google SecOps), SOAR systems (e.g.  Splunk SOAR, XSOAR), Incident Response systems (e.g. ServiceNow), or TIPs (e.g. MISP). We’re the bridge between our data and our client’s systems. We’re a full-cycle/full-stack development team - meaning that you will be part of the complete life cycle of the services we provide, from concept and design to implementation, maintenance, and eventually end-of-life.You also love new stuff! At Recorded Future, you will get a chance to play with new technology, evaluate it, and see what’s most appropriate for solving real-world problems. You have at least a couple of years of coding experience. You are a self-starter and have excellent communication skills.

What You'll Do

• Own and drive development work of a platform/framework with the main focus of enabling others to build and deploy integrations with other systems.
• Continuously design, develop and deploy services focusing on high availability, excellent quality, low latency, and performance.
• Testing methodologies for automated build and test pipelines
• Troubleshoot and resolve customer issues (third-line support)
• Support driving improvements, strategy, and collaboration across teams.
• Working with technologies such as kafka, mongodb, elasticsearch

What You'll Bring

• Advanced understanding of working with APIs in various environments
• Passion for and experience in robust multi-platform code development
• Fluency in multiple programming languages, primarily Python
• Ability to work from high-level architecture design down to efficient code
• Curious mindset to solve problems, strong team mentality & high sense of accountability
• Experience with Unix-based operating systems
• Ability to take the initiative and collaborate across teams
• Ability to work in a fast-paced environment
• Relevant education or experience

Preferred Qualifications

• Cyber Security / Threat Intelligence education and experience
• A good understanding of system design, data structures, and algorithms
• Experience in working with test frameworks (e.g., pytest)
• Knowledge of CI/CD in github
• Experience working with kubernetes, kafka, mongodb, elasticsearch, fastapi
• Comfortable working in global and remote teams

REQ# FEQ327R2

About the Consumer Pricing and Discounts Domain

The Consumer Pricing and Discounts Data Science team is committed to consumer-first pricing and discounts that are fair, transparent, and compliant. We create innovative pricing & discounts solutions that offer clear value for our consumers with a focus on affordability. We collaborate cross-functionally to achieve both short-term and long-term business goals, balancing topline impact with bottom-line profitability tradeoff. Our team of Data Scientists partners closely with the Strategy & Operations business team as well as Product & Engineering, conducting experiments, advanced analytical data exploration, algorithmic modelling and operational reporting to enhance our consumer pricing & incentives strategies.

What you’ll be doing

As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. This role is a great fit for a versatile generalist who can bridge pricing and growth initiatives, connecting the dots across functions to drive business impact. It suits someone who thrives in a cross-functional environment, brings strong business judgment, and can balance priorities within a dynamic team. The position plays a key role in shaping strategy while keeping execution aligned with broader objectives.

The scope spans the full lifecycle - from research and discovery to modelling and experimentation. Responsibilities include defining success through clear measurement frameworks, identifying business opportunities, and tracking performance via reporting. It’s an opportunity to turn insights into action and influence outcomes.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar
• Strong business acumen and ability to connect analytical work (models, research, frameworks) to real business impact

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You can choose the location from our tech hubs in Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Finland or Sweden. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

The Courier Analytics Team at Wolt focuses on solving complex delivery-related logistical and operational challenges, and our objective is to improve Wolt’s logistics efficiency while delivering an exceptional delivery experience for all parties in our 3-sided marketplace.

Data Scientists at Wolt work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organisation. On the Courier team, we are particularly focused on optimising routing and task assignment efficiency,  predicting delivery times with higher accuracy, and aiming for a flawless delivery experience for both our couriers and customers to boost retention. 

We achieve this by ensuring Courier Group’s product development is rooted in experimentation with the primary goal of delivering impactful results rather than sole features.  By analytical deep-dives, impact estimation, and delving deep into observational data to expose hidden trends and untapped opportunities, our Data Scientists serve as objective advisors, helping to decipher the 'why' behind the data, thereby enabling smarter decisions that align with our overall business strategy. 

What you’ll be doing

• Take Ownership: Drive the Logistics analytics topics within Courier Analytics, becoming the go-to expert in this critical area.
• Drive Experiment-Guided Product Development: Serve as the catalyst for analytical deep-dives and controlled experiments that illuminate Wolt's complex marketplace dynamics and causal chains.
• Champion Statistical Rigour and a Data-Driven Mindset: Serve as an internal advocate for the crucial role of statistical rigour in data analysis. Your advocacy will foster a culture where data isn't just used, but used wisely, reinforcing the integrity of our decision-making processes.
• Collaborate Across Teams: Work closely with cross-functional teams, including Product, Design, Engineering, and Operations, to integrate data-driven decision-making into their workflows.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R, and AI IDE tools
• Hands-on experience in designing and analysing A/B testing, coupled with knowledge of quasi-experimental methodologies
• A strong grasp of core concepts and models for causal inference, enabling you to expose complex cause-and-effect relationships within data
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

We are looking for a Staff Data Scientist to join Wolt’s mission in Finland, Sweden, or Germany!

About the role

The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.

To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.

What you'll be doing

As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You’ll achieve this by:

• Developing and deploying production-level ML models
• Crafting metrics to unlock deeper insights into merchant selection quality for all markets
• Conducting experiments to understand the impact of selection on specific markets
• Work on self-serve tooling to track these insights.

This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.

Our humble expectations

• 3-5 years of experience in data science, consulting, or a related quantitative role
• Fluent in Python & SQL
• Strong exploratory data analysis skills, willingness to look under the hood
• Exposure to experimental design (A/B testing) and key statistical methods
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
• Determination to initiate and lead/own strategic projects to completion with a cross-functional team
• Innate curiosity to understand how things work and a first-principles approach to problem solving

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. 
• You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. 💙 
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! 

For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)

About Consumer Analytics at Wolt 

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

About the Consumer Data Science Team

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

What you’ll be doing

As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. 

If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you.

Our humble expectations

• 3+ years of experience in an analytics or data science position
• Experience working with product funnels and user journeys
• Proficiency in SQL and Python
• Hands-on experience in designing and analysing A/B testing
• Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work on-site in Amsterdam or remotely from any other EU country.

Your responsibilities will include:

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages – Python, Go, Java, C++
• Orchestration – Kubernetes (K8s), Slurm
• DevOps Tools – Git, Docker, Helm
• Infrastructure as Code (IaC) – Terraform
• ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. 

What You’ll Do: 

• Build and maintain tools that ease building and releasing Open Source software at Datadog
• Build and maintain tools that ease ingesting Open Source software at Datadog
• Create developer facing documentation and training materials around contributing to open source and maintaining open source projects
• Interface with open source communities to understand problems and trends in the market
• Create tools to automatically analyze and report on Open Source repositories trends and statistics
• Interface with Datadog Open Source Partners candidates and recipients to select new projects for the program and ensure that the program stays useful
• Research and write content for the Datadog Open Source Hub
• Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code

Who You Are: 

• Approximately 3+ years of experience as a software developer, SRE, or other practitioner.
• You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on.
• You love building tools that make other engineers more productive.
• You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization.
• Bonus: You are (or have been) an active member of an open source community.
• Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 

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: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Remote

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Hungry to learn new technologies and tools
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Bonus points if you have:

Experience with LinuxExperience with Python developmentKnowledge of Kubernetes & kubectlExperience with AWS, GCP and/or Azure

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.

#LI-Hybrid

Who we are

About Stripe

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

About the team

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

What you’ll do

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

Responsibilities

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

Who you are

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

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

Minimum requirements

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

Preferred requirements

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

Role Description

• As a Senior Strategic Value & Process Optimisation Consultant (Internal Title: Senior Value Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Strategic Value & Process Optimisation Consultant (Internal Title: Senior Value Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Management & Technology Consultant – AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Management & Technology Consultant – AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

We’re looking for a Senior Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Develop impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Be part of a client-facing team that finds, defines, and solves problems of real-world interest using IonQ trapped-ion quantum computers.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• Hands-on expertise with using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• Demonstrated experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1360

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position requires candidates to be based in the Nordics (Denmark, Finland, Iceland, Norway or Sweden).
Travel: 20% travel domestically and globally
Job ID: 1375

We are looking for a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms to help lead the technical development of highly differentiated quantum solutions that will bring value to society. As a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll guide a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a technical leader in the field of fault-tolerant algorithms, you will help discover the next generation of quantum applications that will exceed state-of-the-art classical methods. You will be a core member of technical leadership in quantum algorithms, and you will drive research into new quantum algorithms and develop IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Influence the quantum applications roadmap towards fault-tolerant quantum algorithms that will make a large scientific and commercial impact by leading the origination, execution, and optimization of novel, end-to-end quantum algorithms. Guide other team members towards this goal.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches compared to NISQ and/or classical methods.
• Provide trusted expertise and leadership in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Lead technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Define, develop, and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 5 years of professional experience in the quantum computing field
• 13+ years of professional experience or an equivalent combination of education and experience
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents.
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 7+ years of professional work experience developing FT quantum algorithms that align with realistic industry problems such as computer-aided engineering, phase transitions, reaction modeling, cybersecurity, differential equations solving, simulation of physical systems, etc. 
• Deep expertise in quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1254

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

We’re looking for a Staff Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Originate and lead development of impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Lead constructive technical interactions with client teams to find, define, and solve problems of real-world interest using IonQ trapped-ion quantum computers.
• Represent the team in client and stakeholder presentations, develop presentation content and appropriately adapt it to the audience.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• At least 3 years of professional experience using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• At least 3 years of professional experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1361

We are looking for a Staff Scientist – Fault-Tolerant Quantum Algorithms to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll be a core member of a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a hands-on expert in fault-tolerant algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing quantum algorithms, core IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Lead hands-on development of novel fault-tolerant quantum algorithms that will make a large scientific and commercial impact across a wide range of industry verticals.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches as compared to NISQ and/or classical methods.
• Provide trusted expertise in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Drive constructive technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Develop and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 3 years of professional experience in the quantum computing field
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization 
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 5+ years of professional work experience developing end-to-end solutions for realistic industry problems such as computer-aided engineering, cybersecurity, chemistry, etc.
• Experience working with quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1058

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, and equity.

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Senior Engineer, you will have a direct impact on the development of core geospatial products and internal data-processing and annotation tools at Overstory. 

Your breadth of skills will allow you to set a technical vision for the development of the web applications, ETL pipelines, and backend services owned by these teams.

You’ll partner with product managers, external resources, and your team members to execute this vision.

Time zone requirement: Europe (GMT/WET, CET, EET) and North America (NST, AST, EST, CST, MST, PST)

What You’ll Do

• Explore best practices to combine coding agents with software craftsmanship and teach other engineers these practices
• Optimize the orchestration of several object detection and image alignment models
• Design and maintain robust data and feature pipelines for millions of geospatial entities
• Contribute to the technical vision for the development of our internal annotation and QA web applications
• Work closely with your Product Manager to discover and propose new products to solve use cases such as anticipating the impact of an outage at a particular locatio

Skills & Experience

• 5+ years of experience as a senior software engineer 
• Skilled in designing ETL pipelines with near-real-time orchestration, in Python.
• Strong background building and maintaining scalable web-applications with React, FastAPI, PostgreSQL
• Experience with XP practices such as TDD or trunk based development. The team would be new to these practices
• Strong communication skills and ability to explain complex technical concepts to various audience

Nice To Have

• Experience with the Geospatial ecosystem such as PostGIS, Geopandas or Deck.GL
• Experience with Dagster, Airflow or similar orchestration frameworks
• Experience with building web-applications tailored for repeatable human or agentic workflows
• Experience working in B2B, in particular with electrical utilities

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Staff Engineer, you will work across multiple teams to evolve a suite of web and internal tools that enable utility companies to more effectively manage risks associated with climate change and wildfires.

We are seeking improvement in the following areas:

• Performance & Scalability: ensure that our product can handle 3x YoY growth 
• Accelerate time to value of new product capabilities
• Reduce the amount of manual work required to ingest vegetation analysis into our customer facing tools

At Overstory, our Staff Engineers are hands-on technical leaders whose influence extends beyond their team either through leading cross team initiatives, making technology choices for critical aspects of our technology platform or solving for critical technical challenges within teams enabling our business to achieve our rapid scaling plans (growing 3x YoY). 

This role will start off being primarily team scoped solving critical scaling challenges. There is scope to expand remit as we grow.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Technical Skills:

• Broad and deep understanding of system design with an ability to select the correct paradigm/technology given the situation and constraints.  
• Develops a deep understanding of our business domains and how technology can be applied to drive business impact. 
• Innovates and introduces new technologies or methodologies.
• Resolves complex technical challenges with innovative solutions.

Ownership:

• Leads cross-team initiatives or leads on architectural system design at team level
• Drives pragmatic technology choices/decisions making sensible trade offs in order to  balance current and future business needs.
• Defines coding standards and engineering best practices.
• Evaluates and recommends new tools and technologies.
• Hands-on contribution 

Leadership:

• Mentors and coaches engineers.
• Influences technical decisions at the organizational level.
• Collaborates with product managers and CTO to inform how technology can influence or enable the product strategy.

Skills & Experience

• Experience of working in a high growth scaleup environment 
• Product minded and able to demonstrate significant impact you have had on a business through the application of technology
• Proven experience of full stack development across the following (or similar) technologies: React/Typescript, Python/fastAPI, Postgres DB, Data pipelines)
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Ability to design and implement scalable and resilient systems
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends

Nice To Have

• Demonstrated experience scaling large distributed architectures
• Experience working in a remote-first environment
• Experience working with satellite data and/or imagery

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Location: Sweden (remote)

What you’ll do as a Solutions Engineering Manager (Pre-Sales)

You are the team leader, enabler, point of reference and coach. You will work closely with our prospects and customers by shadowing and improving your team’s technical expertise. You will take care of new team members and you will ensure work loads are equally distributed within the team. You are personable and can provide constructive feedback when necessary. You will help escalate and identify issues quickly and efficiently and you will work with the other team leads and the regional lead to ensure proper regional coordination. The Solution Engineering Manager has a player/coach mindset and the ability/willingness to step into the field when needed, and lead by example. In addition, you will be expected to partner closely with peer sales leaders and drive to revenue targets.

To aid your team, you will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and advise your team on how to create scalable solutions for your customer’s needs.

Examples of desirable skills, knowledge, experience and goals

Our Solutions Engineers and Managers come from a wide range of backgrounds: engineering, software development, finance, product management, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology, have the ability to explain complex technical concepts in easy-to-understand terms, and you like coaching and teaching. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other and you will be an integral part of driving that culture.

What you need

The Solution Engineering Manager role requires you to have the ability to effectively manage and grow your team, as well as possess the technical prowess expected of a Solutions Engineer. Your capabilities may include a mix of the following:

• 15+ years of pre-sales / SE experience in a reputable IT company. 
• 5+ years of experience as a frontline or second level SE manager role.  
• Strong understanding of the Northern European (Benelux / Nordics) market, proven track record of business engagements with customers in that market. 
• Proven track record of business growth and talent acquisition (team building).
• Demonstrable experience in coaching, leadership skills and team management
• Demonstrable experience in understanding and solving escalations, team issues or other management related scenarios
• Understanding of customers buying decision process and how to influence it, and the ability to make intelligent business decisions to drive to revenue targets
• Expertise in internet technologies: OSI Model layers 1-7, BGP, TCP/UDP, DNS (authoritative and recursive), HTTP(S), SSL / TLS
• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology, and our Solutions Engineers are viewed as subject-matter experts. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.

Bonus points:

• BSc/MSc or equivalent degree in a technology related field.
• MBA is a plus.  
• Demonstrated experience with a scripting or programming  language (e.g. Python, JavaScript, Bash, Go) and a desire to expand those skills;
• Industry and technology certifications
• Exposure to emerging technical landscape trends, such as Zero Trust and Serverless computing.
• Experience in Cloud project deployments
• Speaking one other European language in addition to fluent English

Inter-Team Goals

• Work directly with the Sales Director of the region in a 1-to-1 alignment. 
• Cultivate cross SE team/office coordination, keep us all connected as one team
• Facilitate knowledge transfer between SE teams globally. 
• Develop strong relationships outside of SE organization to aid in escalation of issues (product/support/engineering/special projects/marketing/legal/etc)
• Maintain strong communications with Account Executives and Customer Success leads

Intra-Team Goals

• Keep the pulse of the team: who is happy, productive, performing. Know each member’s strengths and how they would each like to develop
• Exemplify and cultivate positive culture traits. Provide support and confidence to team members
• Effectively deal with performance issues and provide relevant, timely feedback.
• Cultivate a very open communication environment. Criticism is welcome and appreciated
• Maintain a culture of independence, collaboration and results focus. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In Spain, the compensation range for this role is EUR 82,988 - EUR 99,586. 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.

Role & Team

Our engineering team is growing! We are looking for multiple senior full stack engineers to join our web product team(s) and help us scale our product suite. 

As a Senior Software Engineer at Overstory, you will have a direct impact on our mission by building new capabilities and features that in turn enable utility companies to more effectively manage risks associated with climate change, wildfires and storms. We will also look to you to effectively partner with product, design and tech leads on key initiatives and mentor other engineers from time to time. 

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Over the next 6-12 months you will contribute to:

• Performance & scalability: ensuring that our product can handle 3x year-over-year growth
• Velocity: accelerating time to value of new product capabilities
• Leverage: reducing the amount of manual work required to ingest vegetation analysis into our customer facing applications

Skills & Experience

• Proven experience of full stack development across the following (or similar) technologies: *Python/FastAPI, React/Typescript, Postgres DB, data pipelines; (*Python experience a core requirement)
• Recent experience working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Experience working in a high growth scaleup environment across distributed, remote teams 
• Deeply committed to tackling the climate crisis
• Possess a product mindset; deep understanding of leveraging technology to directly impact business outcomes
• Proven ability to design and implement scalable and resilient systems
• Excellent written and verbal communication skills; ability to effectively collaborate in a cross-functional team environment
• Committed to ongoing education, perpetual learning, mentorship; interested in evolving technologies and industry trends

Nice To Have

• Experience working with maps/imagery/geospatial domains  
• Experience working on globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. 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.

This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In Sweden, the compensation range for this role is SEK 775,444 - SEK 930,533. 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.

This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

The Opportunity:

As a Mimir Engineer you’ll join one of these two sub-squads: Query or Storage. Together, they maintain the open source Grafana Mimir OSS project and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes.

Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features solving customer problems and enhancing operations on a large database at scale
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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:

• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.

• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In Germany, the compensation range for this role is EUR 97,034 - EUR 116,441. 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.

Meet our software engineers!

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
• Experience with Linux and/or ARM systems

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually 
• Stock options

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 511.200 - 1.098.200 SEK yearly. 

Software Engineer - Grafana Cloud Integrations

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

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In Sweden, the compensation range for this role is SEK 609,985 - SEK 762,481. 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.

Software Engineer - Grafana Cloud Integrations

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

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In United Kingdom, the compensation range for this role is GBP 72K - GBP 90K. 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.

Software Engineer - Grafana Cloud Integrations

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

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In Germany, the Base compensation range for this role is EUR 76,000 - EUR 95,000. 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.

Software Engineer - Grafana Cloud Integrations

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

The Opportunity:

What is Grafana Cloud?

The Grafana Cloud Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that develops our portfolio of integrations that allow customers to collect and visualize metrics from various systems and applications. 

The software you will create is a core building block for the users of Grafana Cloud, and contributes significantly to our user value. Our work is built on Open Source technologies, which you will also actively contribute to. 

What You’ll Be Doing:

You will bring your software engineering expertise to develop and maintain the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud.

• Develop and maintain features as part of Observability solutions in Grafana Cloud. 
• Contribute to the design and implementation of high-quality, scalable integrations for various infrastructure components, databases, and applications
• Build prototypes and present your ideas as part of a cross-functional team
• Stay up to date with the latest cloud native technologies and development methodologies
• Represent Grafana Labs in meetups, and conferences and social media forums

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

What Makes You a Great Fit:

• Experience working in Software Engineering, Site Reliability Engineering or related disciplines 
• Solid experience with at least one programming language. We use Go, Typescript
1. but if you have familiarity with Python, Rust, C, C++, or similar then that translates well
• Ability to work in a fast-paced environment
• Ability to work as part of a cross-functional team and quickly gather and build your knowledge
• Proficient written and verbal communication skills in English

Bonus Points For:

• Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)
• Experience contributing to or maintaining Open Source projects
• Experience working with with cloud computing technologies

Compensation & Rewards:

In Spain the Base compensation range for this role is EU 65K - EU 81K. 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.

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.