RTI is seeking someone that will help support our Aerospace & Defense customers in the EMEA territory. You will be working closely with the Account Manager in the region to help drive growth of our products and services. 

We are looking for a team player who is self-motivated, comfortable operating without day-to-day direction and eager to work with customers as they shape the future of A&D technology.

Check this blog out that details what an FAE does at RTI!

✨ What You’ll Do / Responsibilities

Achieving Annual Sales Quota:

• Create compelling presentations that convey RTI technology value & benefits to prospects.
• Organize and execute detailed Proof-of-Concept engagements and build compelling software demos using RTI products.
• Support product proposals to align with customer requirements including RFP/RFQ responses.

Achieving customer satisfaction:

• Work closely with internal teams to coordinate resources to resolve customer's pre-sales technical blockers and to respond to RFPs.  
• Coordinate and document customer technical requirements with Product Management for continuing product evolution for EMEA market requirements.

Increasing the sales pipeline:

• Work closely with Account management to develop sales strategies.
• Periodically create technical articles for publication showing RTI Technology and Business value.
• Attend tradeshows and events to give presentations and man booths to raise awareness about our product.

🎯 What We’re Looking For / Requirements

• BS or higher in technical field, MS preferred.
• Ability to Travel (~20-40%) and on-site work is required to achieve job objectives.
• 5+ years in A&D Industry in a technical role (including, for example, experience with N-GVA/GVA, Avionics systems, Naval systems or similar A&D related networking technology).
• Strong understanding of OS (e.g. Threading, etc) and networking concepts (E.g. UDP, Multicast, OSI Layer switching, routing, VLANs).
• C/C++ development expertise and understanding of SDLC processes.
• Excellent presentation skills, coupled with excellent oral and written communication skills.
• Ability to communicate with customers and internal stakeholders in English.
• Experience designing a high-level technical solution/architecture based on customer requirements.
• Experience working in a customer facing role.
• EU Citizenship required*
  • Due to the sensitive nature of our Aerospace & Defense projects and specific client contractual obligations, this role requires the successful candidate to hold EU Citizenship to meet security clearance and data access protocols.

Don’t meet every single requirement? At RTI, we are dedicated to building a diverse, inclusive, and authentic workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about RTI’s Diversity initiatives here!

💎 Nice To Have / Preferred Skills

• Experience in communication middleware or protocols, e.g., DDS, MQTT, etc.
• Strong understanding of messaging and communication patterns.
• Expertise in a specific A&D Domain (E.g. N-GVA, Avionics, etc).
• Embedded system experience (Software Development, Debugging etc).
• Python/Java/.NET development expertise.
• Knowledge about Hypervisors, Virtualization.
• Knowledge about Cloud-Native architecture (Containers, Web Services etc).
• Knowledge about current trends in the Automotive Industry.

🌟 What We Offer You 

• Flexible working schedule.
• Remote working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Annual bonus based on individual and company performance + other prizes and awards. 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for six consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

For more information about how we collect and use your data, please see our Privacy Notice for EMEA Job Applicants and Employees.

The position of Senior Management & Technology Consultant (Senior Value Engineer) is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements.

The Role:

As a Senior Management & Technology Consultant (Senior Value Engineer) you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The role requires a high level of fluency in German.

The work you’ll do:

Identify & Frame Value

• Discover and translate customers’ strategic priorities into high-impact Celonis use cases
• Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
• Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executive

Realize Value

• Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
• Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
• Present results and realized value to senior management and C-level executives

Scale Value

• Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
• Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases

The qualifications you need:

Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.

Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams.

Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures,  being a change agent and training users/process owners to realize value

Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.

Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English and sovereign appearance.

Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation)

Industry Expertise: Ideally expertise in one or more industries (e.g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals) and the ability to develop a deep understanding of industry trends and strategic opportunities   

Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program

The role requires a high level of fluency in German.

The position of Senior Value Engineer is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements.

The Role:

As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The role requires a high level of fluency in German.

The work you’ll do:

Identify & Frame Value

• Discover and translate customers’ strategic priorities into high-impact Celonis use cases
• Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
• Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executive

Realize Value

• Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
• Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
• Present results and realized value to senior management and C-level executives

Scale Value

• Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
• Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases

The qualifications you need:

Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.

Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams.

Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures,  being a change agent and training users/process owners to realize value

Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.

Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English and sovereign appearance.

Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation)

Industry Expertise: Ideally expertise in one or more industries (e.g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals) and the ability to develop a deep understanding of industry trends and strategic opportunities   

Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program

The role requires a high level of fluency in German.

The position of Senior Business Transformation Consultant (Senior Value Engineer) is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements.

The Role:

As a Senior Business Transformation Consultant  (Senior Value Engineer) you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The role requires a high level of fluency in German.

The work you’ll do:

Identify & Frame Value

• Discover and translate customers’ strategic priorities into high-impact Celonis use cases
• Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
• Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executive

Realize Value

• Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
• Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
• Present results and realized value to senior management and C-level executives

Scale Value

• Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
• Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases

The qualifications you need:

Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.

Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams.

Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures,  being a change agent and training users/process owners to realize value

Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.

Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English and sovereign appearance.

Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation)

Industry Expertise: Ideally expertise in one or more industries (e.g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals) and the ability to develop a deep understanding of industry trends and strategic opportunities   

Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program

The role requires a high level of fluency in German.

The position of Senior Consultant - Data Analytics and Supply Chain (Senior Value Engineer) is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements.

The Role:

As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The role requires a high level of fluency in German.

The work you’ll do:

Identify & Frame Value

• Discover and translate customers’ strategic priorities into high-impact Celonis use cases
• Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
• Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executive

Realize Value

• Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
• Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
• Present results and realized value to senior management and C-level executives

Scale Value

• Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
• Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases

The qualifications you need:

Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.

Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams.

Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures,  being a change agent and training users/process owners to realize value

Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.

Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English and sovereign appearance.

Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation)

Industry Expertise: Ideally expertise in one or more industries (e.g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals) and the ability to develop a deep understanding of industry trends and strategic opportunities   

Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program

The role requires a high level of fluency in German.

About The Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

• Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

• Experience working with a tech stack similar to: 

• Programming languages like Python or Kotlin. 

• Databases like Postgres, BigQuery, Spark, Graph DB 

• Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

• Cloud Storage Platforms  

• You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

• You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

• You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

• Some knowledge about semantic web technologies like RDF and OWL 

• Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

• Experience working with construction industry data and / or complex and large datasets 

• Data Science, Machine Learning and AI agents  

What we offer:

• Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 
• It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
• Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
• Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
• Be an owner: Participate in the success of GROPYUS through stock options.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the largest and most influential platforms on the internet. 

As Reddit continues to scale globally, reliability and performance are more critical than ever. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.

We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.

This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can influence engineering culture across the organization.

What you’ll do:

• Lead Reliability Engineering for User Experience
• Drive reliability, scalability, and operational excellence for critical user facing systems and services. Improve performance and resiliency across APIs, content delivery, feed generation, search, messaging, and real-time experiences.
• Architect for Scale
• Partner with product and infrastructure engineering teams to design systems that remain highly available and performant under massive global load. Guide architectural decisions around failover, redundancy, graceful degradation, traffic management, and capacity planning.
• Reduce Operational Risk
• Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Build proactive mitigation strategies and drive engineering improvements that reduce incidents and improve service health.
• Drive Automation
• Eliminate repetitive operational work through automation and tooling. Build systems that improve deployment safety, incident response, remediation workflows, and reliability guardrails
• Incident Management
• Lead complex incident response efforts across engineering teams. Drive blameless postmortems, identify root causes, and ensure sustainable long-term fixes are implemented.

Influence Engineering Standards

• Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.

Mentor and Multiply Impact

• Provide technical leadership and mentorship to engineers across SRE and software engineering teams. Help shape reliability culture and raise the operational excellence bar across the organization.

What We’re Looking For

• 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.
• Strong collaboration and communication skills with the ability to influence technical direction across teams.
• Strong experience supporting high traffic, user facing production environments.
• Deep understanding of one or more: distributed systems, networking, Linux systems, cloud native architectures.
• Experience designing highly available systems with strong operational and reliability practices.
• Strong programming skills in languages such as Go, Python, or similar.
• Strong understanding of observability systems including metrics, logging, tracing, and alerting.
• Experience improving reliability through SLOs, automation, incident management, and performance optimization.
• Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services.

Nice to Have

• Experience operating systems at internet scale traffic volumes.
• Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
• Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
• Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
• Contributions to open source software or participation in technical communities.
• Experience leading large scale incident response and operational transformation initiatives.

Why Join Reddit?

You’ll help shape the reliability and performance of one of the internet’s largest platforms, influencing experiences used by millions of people every day. This is an opportunity to solve deeply complex engineering problems at massive scale while helping define the future of reliability engineering for a modern consumer platform.

Benefits

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Private Medical, Dental, and Vision Benefits
• Personal Retirement Savings Account with matching contribution
• Cycle to Work and Tax Saver schemes
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Join us as a Integration Engineer (all genders) in our System Mobility team and help shape the future of autonomous mobility!

What you will do

• Own the technical integration of the vehicle platform, autonomous driving (AD) system, platform components, and backend systems
• Ensure seamless end-to-end integration across systems, functions, and domains
• Analyze hardware and software integration issues and identify root causes across the entire system chain
• Develop and evaluate cause-and-effect chains and system dependencies to enable structured troubleshooting
• Coordinate resolution actions with responsible stakeholders across software, hardware, platform, and backend domains
• Support system integration, bring-up, and testing activities at both vehicle and platform levels
• Track and manage integration issues through to sustainable resolution across multiple teams
• Collaborate closely with system architecture, development teams, and program management
• Ensure transparency on integration status, risks, and technical dependencies

What will help you to fulfill your role 

• Master’s degree or higher in Electrical Engineering, Software Engineering, Systems Engineering, Automotive Engineering, or similar 
• Experience in automotive development, such as autonomous driving or ADAS systems, E/E architecture, or vehicle platforms.
• Strong technical understanding of complex vehicle systems and software-hardware integration.
• Proven experience in program or project management within engineering organizations.
• Structured, analytical working style with strong coordination and communication skills.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

An overview of this role

The Customer Success Engineer (CSE) role provides deep subject matter expertise on GitLab technical and product solutions and best practices. CSEs provide customers with technical guidance, go in-depth on use case implementation, and demonstrate the value of GitLab product capabilities.

What You’ll Do  

• Engage with customers, via Zoom calls and emails, in a technical consultancy and advisor role during the post-sales process while providing technical and solution guidance
• Providing technical, architectural and best practice guidance
• Drive the achievement of measurable value (business outcomes), leading to product adoption, renewal, and expansion
• Align with Account Executives and Renewals Managers to provide customer-facing subject matter expertise based on the customer’s business objectives
• Focus on solution-based programs that are customized to fit an individual customer’s needs
• Develop and collaborate on customer workshops, demos, and other enablement
• Maintain specialty competency in one or more technologies related to GitLab’s market focus through activities such as training, certification and creation of working examples for reuse internally and by customers and partners
• Continuously improve professional skills with a focus on personal mastery and team learning through activities such as training, reading and seeking mentorship from others
• Contributes to our docs, YouTube channel, and other enablement programs such as the Digital Journey

What You’ll Bring 

• Experience with a GitLab use case (SCM, CI, CD, DevSecOps, Agile Planning) to provide in-depth customer guidance and enablement
• Proficiency using DevSecOps tools or highly technical tooling in adjacent fields
• Specialize in GitLab use cases to provide in-depth guidance and enablement to customers of all sizes, including large enterprise organizations
• Technical experience in development or systems engineering
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
• Have demonstrated the ability to become a trusted technical advisor to customer and business leaders
• Exceptional verbal, presentation, and written communication skills
• Excellent time management and ability to work with several different teams at any given time
• Fluent German

About the role: 

We are in search of a solution-oriented and experienced Staff Software Engineer (Full Stack) to join our Affinidi Elements team. In this role, you will work with global peers on teams dedicated to areas of the product portfolio, from the product, design, infrastructure, architecture, and back/front-end engineering teams. You will be responsible for the continued enhancement and development of a multi-component platform, where your expert skills in designing, architecting, and building quality systems will intersect with your hands-on coding, performance testing, and integrating experience.  

Our work culture at Affinidi is shaped by the following tenets:   

• We are unapologetically customer-focused 
• We invest in cultures and teams to enable high performance 
• Embraces experimentation and builds fast 
• We have the courage to be misunderstood 
• We work together to unlock data  

 What’s in it for you:  

• Develop features and improvements to the Affinidi Elements product in a secure, well-tested, and performant way, primarily using Typescript & React.
• Analyze and interpret highly complex data to arrive at actionable recommendations
• Collaborate with Product Management and other stakeholders within Engineering (e.g. UX) to maintain a high bar for quality in a fast-paced and iterative environment
• Advocate for improvements to product quality, security, and performance
• Solve technical problems with large scope and complexity
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale systems environment. Maintain and advocate for these standards through code review.
• Confidently own moderate to significantly complex features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects.
• Mentor other engineers, contribute to team and organizational improvements in processes and tooling. 

 You will be a great match if you:  

• Have experience with performance and optimization problems, a demonstrated ability to both diagnose and prevent such problems, and a desire to share your knowledge and scale through others.
• Are a passionate developer across both front and back-end with extensive experience using Javascript, Typescript, Node.js and React. Other languages (Rust, Dart, C#, Java, Golang for example) are also attractive skills for this role.
• Expertise in cloud computing (AWS) and cloud-native environments
• Understand design patterns and have working experience in developing and deploying microservices in the cloud, and have a proven track-record in doing so.
• Have strong technical documentation skills, including the C4 Model and Architectural Decision Records.
• Are hands-on with REST APIs and are able to apply Test Driven Development principles effectively. 
• Care about privacy by design, security, testing, high-performance systems, and mentoring others, and have an inclination towards clear communication, inclusion and visibility.
• Enjoy working in a fast-paced startup environment where you can be autonomous and experimental, be part of a truly global team, and can work up and down the stack. 

 Bonus points:  

• Experience in designing/developing external SDK/API and CLI
• Experience working cross-functionally, and across locations and time zones
• Domain expertise in decentralized identity solutions 
• Experience in developing systems with cryptography requirements  

What can you expect from us:  

• Hybrid working model 
• Flexible working hours 
• Unlimited vacation policy 
• Competitive compensation package 
• Work within international environment 
• Learning Budget 
• Mobile Allowance 
• Home Office Allowance 
• Urban Sport Membership

Sounds like you? Apply now!  

#LI-AB1

About the role:  

We are in search of a solution-oriented Senior Software Engineer (Backend) with demonstrable experience in Rust, to help guide the development of secure, scalable, and high-performance backend systems for the Affinidi Elements platform. In this role, you will work with global peers on teams dedicated to areas of the product portfolio, from the product, design, infrastructure, architecture, and back/front-end engineering teams. Your responsibilities will include delivering a multi-component platform, leveraging your experience in helping to design and developing production-quality systems. This role offers the opportunity for professional growth within a high-performing team culture. 

Our work culture at Affinidi is shaped by the following tenets:    

• We are unapologetically customer-focused 
• We invest in cultures and teams to enable high performance 
• Embraces experimentation and builds fast 
• We have the courage to be misunderstood 
• We work together to unlock data   

Further, Affinidi’s focus on the open source community, and collaboration with standards bodies to develop the next version of the internet – the Internet of Trust – guides every engineering and product decision we make. 

 What’s in it for you:  

• Build and deliver secure, high-quality features and improvements for the Affinidi Elements Platform using Rust. Experience in TypeScript and Dart will set you above other applicants for this role  
• Create standards-compliant world-class software systems and components, most of which will be open sourced as our commitment to the OSS and decentralised community 
• Contribute to architectural direction while staying hands-on with development 
• Help design and implement solutions to complex, large-scale technical challenges 
• Identify and drive the most critical improvements in product quality, security, and performance 
• Elevate engineering standards through your expertise, mentorship and commitment to best practices. 
• Guide the team to build well-tested, secure, and performant services 
• Collaborate closely with product, security, and engineering peers in a fast-paced, iterative environment 

   You will be a great match if you:   

• Proven experience with performance optimization and a track record of diagnosing and preventing system bottlenecks 
• Strong backend development skills with Rust as a core expertise 
• Deep knowledge of TypeScript/Node.js; Dart experience strongly preferred 
• Expertise in cloud computing (AWS) and cloud-native environments 
• Proven track record in developing distributed systems using modern design patterns 
• Skilled in technical documentation (C4 Model, ADRs) and clear communication of architectural decisions 
• Strong advocate for privacy by design, security-first principles, and high-performance systems 
• Experience with applying asynchronous cryptography in production-grade products 
• Experience with authorization/authentication domains; knowledge of identity, verifiable credentials, or secure data exchange is a strong plus 
• Comfortable thriving in autonomous, fast-moving startup environments and collaborating across global teams 

 Bonus points:   

• Experience working across functions, locations, and time zones 
• Expertise in decentralized identity solutions 
• Experience building systems with advanced cryptography requirements 

What can you expect from us:   

• Hybrid working model  
• Flexible working hours  
• Unlimited vacation policy  
• Competitive compensation package  
• Work within international environment  
• Learning Budget  
• Mobile Allowance  
• Home Office Allowance  
• Urban Sport Membership 

Sounds like you? Apply now!   

#LI-DS1

About the role:  

We are in search of a solution-oriented Senior Software Engineer (Backend) with demonstrable experience in Rust, to help guide the development of secure, scalable, and high-performance backend systems for the Affinidi Elements platform. In this role, you will work with global peers on teams dedicated to areas of the product portfolio, from the product, design, infrastructure, architecture, and back/front-end engineering teams. Your responsibilities will include delivering a multi-component platform, leveraging your experience in helping to design and developing production-quality systems. This role offers the opportunity for professional growth within a high-performing team culture. 

Our work culture at Affinidi is shaped by the following tenets:    

• We are unapologetically customer-focused 
• We invest in cultures and teams to enable high performance 
• Embraces experimentation and builds fast 
• We have the courage to be misunderstood 
• We work together to unlock data   

Further, Affinidi’s focus on the open source community, and collaboration with standards bodies to develop the next version of the internet – the Internet of Trust – guides every engineering and product decision we make. 

 What’s in it for you:  

• Build and deliver secure, high-quality features and improvements for the Affinidi Elements Platform using Rust. Experience in TypeScript and Dart will set you above other applicants for this role  
• Create standards-compliant world-class software systems and components, most of which will be open sourced as our commitment to the OSS and decentralised community 
• Contribute to architectural direction while staying hands-on with development 
• Help design and implement solutions to complex, large-scale technical challenges 
• Identify and drive the most critical improvements in product quality, security, and performance 
• Elevate engineering standards through your expertise, mentorship and commitment to best practices. 
• Guide the team to build well-tested, secure, and performant services 
• Collaborate closely with product, security, and engineering peers in a fast-paced, iterative environment 

   You will be a great match if you:   

• Proven experience with performance optimization and a track record of diagnosing and preventing system bottlenecks 
• Strong backend development skills with Rust as a core expertise 
• Deep knowledge of TypeScript/Node.js; Dart experience strongly preferred 
• Expertise in cloud computing (AWS) and cloud-native environments 
• Proven track record in developing distributed systems using modern design patterns 
• Skilled in technical documentation (C4 Model, ADRs) and clear communication of architectural decisions 
• Strong advocate for privacy by design, security-first principles, and high-performance systems 
• Experience with applying asynchronous cryptography in production-grade products 
• Experience with authorization/authentication domains; knowledge of identity, verifiable credentials, or secure data exchange is a strong plus 
• Comfortable thriving in autonomous, fast-moving startup environments and collaborating across global teams 

 Bonus points:   

• Experience working across functions, locations, and time zones 
• Expertise in decentralized identity solutions 
• Experience building systems with advanced cryptography requirements 

What can you expect from us:   

• Hybrid working model  
• Flexible working hours  
• Unlimited vacation policy  
• Competitive compensation package  
• Work within international environment  
• Learning Budget  
• Mobile Allowance  
• Home Office Allowance  
• Urban Sport Membership 

Sounds like you? Apply now!   

#LI-DS1

The role

We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development.

Your responsibilities will include:

• Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level.
• Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm).
• Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks.
• Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
• Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability.
• Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends.
• Contribute to internal tooling, frameworks, and best practices

We expect you to have:

• A profound understanding of theoretical foundations of machine learning
• Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.)
• Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM)
• Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries
• Familiarity with containerized environments (e.g., Docker, Kubernetes).
• Strong communication and ability to work independently

Ways to stand out from the crowd:

• Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT)
• Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf).
• Familiarity with cloud ML platforms like AWS, GCP, Azure ML
• Contributions to open-source ML benchmarking tools

Purpose of the Position

As a Senior Software Engineer, you will be part of a cross-functional service-oriented team, working on extending and maintaining our Affiliate Marketing platform. Your responsibilities include writing clean, secure, and well-tested code, following best-practice guidelines, and collaborating with the team to operate and enhance assigned parts of the platform.

You will have a significant impact in terms of efficiency, problem-solving, and mentoring colleagues. Additionally, you will work closely with the product owner and team members to translate user needs into technical solutions. Throughout the lifecycle of a service or product, from requirements to deployment, support, and maintenance, you will take a leading role, considering deadlines, balancing effort and outcome, and proactively addressing risks.

Your contribution will be vital in overcoming challenges and ensuring that our service continues to meet the needs of our business and customers.

The Team

You will be joining our Rewards tribe, a cross functional team at the core of the business. We enable advertisers to define how they reward publishers and manage commissions and transactions using an event‑driven architecture. We use an exciting array of technologies, including Java/Spring, AWS Lambda, Kafka, NodeJS, SQL/NoSQL databases, and more.

Key tasks and responsibilities

• Work within a small, collaborative team using agile methodologies and practices
• Take ownership of backend services, from design and implementation to operation and improvement
• Proactively advocate for technical improvements and help define engineering priorities
• Improve existing applications and design and build new solutions from scratch
• Contribute to code reviews, planning sessions, retrospectives, and other team ceremonies
• Help shape development technologies, standards, and engineering practices
• Follow best‑practice guidelines and contribute to their continuous improvement
• Work closely with Product Managers to translate user stories into technical designs, features, and tasks
• Tackle complex business logic and help solve real business problems
• Troubleshoot and resolve production issues in a timely manner
• Communicate effectively in both written and verbal form with local and remote team members

Whilst the above outlines the general expectations of the role, we expect this position to evolve over time, offering opportunities to gain deeper knowledge and experience within the online and affiliate marketing domain.

Skills & Expertise

Required

• At least 6 years of hands‑on Java experience in commercial software engineering roles
• A positive, collaborative work ethic and strong sense of ownership
• Passion for writing elegant, maintainable code, with a solid understanding of SOLID principles
• Experience conducting thorough code reviews, writing unit tests, and maintaining CI/CD pipelines
• Strong experience with Git or similar version control systems
• Experience with event‑driven architectures and messaging/streaming technologies
• Solid understanding of relational database concepts, database design principles, and strong SQL skills
• Experience with non‑relational databases such as DynamoDB or MongoDB
• Expertise in designing and implementing RESTful APIs within a microservices architecture
• Experience working in cross‑functional teams alongside Product Owners, UX Designers, and Agile Coaches
• Familiarity with agile processes, particularly Scrum
• Knowledge of TDD or BDD practices
• Experience with cloud platforms, ideally AWS, and Infrastructure as Code
• Interest in and practical use of AI tools to augment software development practices
• Willingness and ability to work with more than one programming language

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

This position is required to be in the office 5 days a week.

About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This position is required to be in the office 5 days a week.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

About Us:

At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!

The Role:

Sauce Labs is looking for a passionate Senior Backend Engineer to join the Sauce Connect team. This agile development team plays a critical role in enabling enterprise customers to maximize their use of Sauce Labs by providing a fast, secure connection between their internal development networks and our cloud-based virtual testing environments. You will work closely with the Product Owner, Engineering Manager, and other talented Sauce Connect engineers to achieve excellent results and shape the future of Sauce Connect

Responsibilities:

• Lead the technical direction and architectural design of Sauce Connect, collaborating with a cross-functional team to deliver a fast, secure, and scalable tunneling solution.
• Design, develop, and own projects across the full stack, from the backend server infrastructure to the client-side application on Linux, Windows, and macOS.
• Act as a technical expert for complex, escalated customer issues, performing root cause analysis and implementing robust solutions to prevent future problems.
• Drive continuous improvements in the scale, performance, and quality of our Trusted Connection Technologies, mentoring other engineers on best practices and system health.
• Proactively identify and evaluate emerging technologies in the open-source community, presenting well-researched proposals for adoption to drive innovation and technical excellence.
• Make and defend architectural decisions based on your extensive experience, balancing trade-offs between technical debt, velocity, and long-term maintainability.

Required Skills:

• 5+ years of professional software development experience in Python or Golang, with a proven track record of designing, building, and operating complex distributed systems and high-availability online services at scale.
• Experience in working with CI/CD tools (designing and implementing robust, automated pipelines using tools like GitHub Actions, GitLab CI, or Jenkins)
• Advanced experience with tunneling, proxy, or VPN-related solutions, with a understanding of their security implications and performance characteristics.
• Deep knowledge of TCP/IP networking, HTTP2, SSL/TLS, and WebSockets. You should be able to debug network issues at the packet level.
• Hands-on experience deploying and managing containerized applications at scale using Kubernetes.
• Demonstrable product development experience, including the ability to influence product strategy and make technical trade-offs to deliver customer-facing value.
• Exceptional ownership mentality and a passion for crafting elegant, well-architected products that deliver stellar user experiences.

Nice to Haves:

• Experience with asynchronous programming
• Experience building and consuming microservices
• Knowledge and understanding of data structures, algorithms, distributed systems, and design patterns.
• Familiarity with modern monitoring systems (e.g., Prometheus or OpenTelemetry)
• Understanding of common security practices involved in protecting customer data

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Summary

We are hiring a Staff Solutions Architect (Remote, based in Germany) to own and grow the DACH territory (Germany, Austria, Switzerland). This role partners closely with Sales, Product, and Engineering to help prospective and existing customers design, validate, and scale mission-critical systems on Temporal. You will work directly with engineering leaders and senior developers at high-growth and enterprise customers across DACH, helping them understand when and how to use Temporal, guiding architectural decisions, and ensuring successful adoption across their organizations.

What You’ll Do

• Serve as a strategic technical advisor to Sales Account Executives, assisting with scoping and sizing opportunities and offering guidance on technical fit and challenges across the DACH region

• Lead customer discovery to understand architecture, constraints, and success criteria, and map those to Temporal-based solutions

• Design end-to-end reference architectures that demonstrate how Temporal fits into existing services, data stores, and infrastructure

• Build and deliver high-impact demos and technical narratives that clearly show how Temporal solves real customer pain

• Run deep technical workshops, whiteboard sessions, and proof-of-concept engagements with engineering and architecture teams

• Provide hands-on guidance on best practices for workflow and activity design, testing strategies, and operationalization of Temporal in production

• Identify and mitigate technical risks in customer projects, escalating and collaborating with Product and Engineering as needed

• Capture and communicate customer feedback and feature requests into Product, influencing roadmap and prioritization

• Contribute to reusable assets for the field, including reference architectures, example workflows, solution playbooks, and enablement content

• Represent Temporal in customer meetings, executive briefings, and at community events or conferences across the DACH market

What You’ll Bring

• Significant experience (typically several years) in customer-facing, technical pre-sales or post-sales roles such as Solutions Architect, Sales Engineer, Field Engineer, or equivalent

• Strong background in designing and operating distributed systems or cloud-native applications, with a deep understanding of reliability, scalability, and failure modes

• Ability to translate complex technical concepts into clear, outcome-focused narratives for both technical and business audiences

• Proficiency in building application prototypes and providing design, development, build, and deployment guidance using one or more of Temporal’s supported languages: Java, Golang, TypeScript, Python, C#, Ruby, or PHP

• Practical experience with cloud platforms such as AWS, GCP, or Azure, and common infrastructure components including networking, messaging, observability, and CI/CD

• Proven track record partnering with sales teams on strategic accounts, including working through technical evaluations, proof-of-concept stages, and production rollouts

• Experience working with or advising large customers in DACH (Germany, Austria, Switzerland), with comfort navigating complex stakeholder environments

• Strong communication, facilitation, and relationship-building skills, with the ability to earn trust with senior engineers and technical leaders

Nice to Haves

• Prior experience working with Temporal or similar workflow/orchestration, event-driven, or durable execution systems

• Experience in a high-growth, developer-focused infrastructure or platform company

• German language skills are highly preferred, along with strong English communication in both written and spoken form

• Familiarity with common patterns such as event sourcing, CQRS, microservices, and data-intensive or low-latency systems

• Experience speaking at meetups, conferences, or producing technical content such as blogs, videos, or sample code for developer audiences

Compensation

The estimated pay range for this role is €165,000 – €185,000 OTE (on-target earnings), depending on experience and location within Germany.

• This is a base salary and variable role with a 70/30 split

• Additionally, this role is eligible to participate in Temporal’s equity plan

This hybrid role is based in Dublin, Ireland (Full relocation provided).

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

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

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

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

A day in the life (Responsibilities)

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

What you'll need to thrive (Requirements)

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

What will help you stand out

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

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-Hybrid
#BI-Hybrid

What's the opportunity?

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

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

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

We’re particularly interested in engineers who have:

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

What will I be doing?

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

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

Profile we’re looking for:

These are indicative, not hard requirements

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

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

Bonus skills & attributes

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

We’re particularly interested in engineers who have:

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

What will I be doing?

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

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

Profile we’re looking for:

These are indicative, not hard requirements

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

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

Bonus skills & attributes

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

We’re particularly interested in engineers who have:

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

What will I be doing?

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

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

Profile we’re looking for:

These are indicative, not hard requirements

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

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

Bonus skills & attributes

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

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

Benefits

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

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

#LI-Hybrid

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

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

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

What’s the opportunity?

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

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

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

What will I be doing?

You will:

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

What skills do I need?

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

Benefits

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

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

#LI-Hybrid

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

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

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

What’s the opportunity?

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

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

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

What will I be doing?

You will:

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

What skills do I need?

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

Benefits

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

#LI-Hybrid

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

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

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

What’s the opportunity?

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

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

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

What will I be doing?

You will:

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

What skills do I need?

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

Benefits

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

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

#LI-Hybrid

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

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

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

What’s the opportunity?

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

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

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

What will I be doing?

You will:

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

What skills do I need?

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

What are we looking for?

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

Beyond that:

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

What are we looking for?

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

Beyond that:

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

What are we looking for?

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

Beyond that:

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

Benefits 

#LI-Hybrid

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

Benefits 

#LI-Hybrid

Senior Analytics Engineer 

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

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

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

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

What is the opportunity?

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

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

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

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

What will I be doing?

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

About You

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

Nice to haves

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

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

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

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

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

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

What are we looking for?

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

Beyond that:

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

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

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

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

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

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

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

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

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

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

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

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

What are we looking for?

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

Beyond that:

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

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

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

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

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

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

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

What will you do?

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

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

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

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

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

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

What are we looking for?

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

Beyond that:

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

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

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

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

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

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

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

Why Intercom, why now?

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

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

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

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

Benefits

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

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

#LI-Hybrid

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

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

What's the opportunity?

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

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

What will I be doing?

As an experienced engineer you will:

• Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.
  
  
• Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure
  
  
• Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.
  

• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

• Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team.
  
  

What skills do I need?

• 5+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team.
  
  
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) (If you don't know a language we use, that's okay! We think great people can learn quickly or introduce us to better ways of working.)
  
  
• but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
  
  
• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams
  
  
• Experience with Distributed systems 

Benefits

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

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

#LI-Hybrid

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

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

What's the opportunity? 

We’re looking for Senior Product Engineers to join the AI Infrastructure team to help Intercom build AI-powered products. Product Engineers in AI infrastructure work closely with other ML engineers and our ML Scientists teams. You will deeply understand our product, our ML tech stack, how we develop product, and how we can accelerate that process further.

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

AI infrastructure is building a platform to move extremely quickly, adapting to new AI advancements in a matter of days, but providing the safety shield to other engineers so our customers always get a good service. We often provide services at the core of AI systems, and write framework-level code that other engineers and scientists in the AI group use daily.

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

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

What will I be doing? 

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

Profile we’re looking for 

• 5+ years of experience shipping high-quality products, preferably backend.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Python, Ruby etc.) 
• Strong willingness to fight for good outcomes
• Ability to deep dive into any part of the tech stack.
• Bias towards progress over perfection.
• Excited about progress in the AI space.

Bonus skills & attributes 

• 1+ year of experience building ML-powered products. You’ll be supported by, and learn from teammates with deep ML experience.
• Built or used ML platforms before.
• Deep understanding of some distributed systems (e.g. database, caches, queues, streams).
• Statistics fundamentals.

Benefits

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

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

#LI-Hybrid

What's the opportunity?

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

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

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

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

What will I be doing?

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

What skills do I need?

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

Benefits

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

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

#LI-Hybrid

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

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

What's the opportunity? 

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

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

What will I be doing? 

As an experienced engineer you will:

• Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.
• Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure
• Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.
• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.
• Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team.

What skills do I need? 

• 4+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team.
• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams
• Experience with Distributed systems

What happens when I apply? 

First, apply so we can review your CV. As the next step, we will send you our take-home test to work on in your own time. You can find more details on the questions and how we evaluate answers here. The following step will be a phone interview with one of our engineers which will focus on technical and culture contribution questions (this step is sometimes broken down into 2 interviews). The final step is a virtual onsite interview. 

Benefits 

We're looking for an experienced Senior Sales Engineer to join our Public Sector Sales Engineering team in Germany. Based anywhere in Germany and reporting to the Sales Engineering Manager, working in a remote environment your responsibilities include:

What you’ll do (Role Expectations)

• Operate as a true “two-in-a-box” team with the Account Executive (AE): jointly build and execute the account plan and customer engagement strategy (stakeholders, use cases, messaging, mutual action plan), ensuring tight alignment from discovery through close
• Lead high-impact customer engagements: run discovery, workshops, demos, and architecture sessions; translate requirements into secure Network Security & Cloud solution designs and clearly articulate measurable outcomes (risk reduction, compliance, efficiency)
• Drive technical win plans and proof points: create and execute the technical strategy for opportunities (incl. PoCs/pilots when needed), define success criteria, coordinate internal resources, and guide deals to clear customer-aligned decisions

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Senior Sales Engineering track record in the German Public Sector: proven ability to support complex deals end-to-end (discovery → solution design → business case → close), with measurable impact on pipeline and wins, plus a solid understanding of stakeholder dynamics and public procurement/tender processes (Federal/State/Municipal; experience in at least one segment required)
• Deep technical expertise in Network Security and Cloud, including architecture-level understanding, relevant security controls/use cases, and integration into customer environments
• Value- and outcome-oriented communication: able to translate technical topics into compelling customer value (risk reduction, compliance, efficiency, cost/benefit) and deliver executive-ready presentations/workshops/demos in German (English for internal collaboration)
• High learning agility: quickly ramps up on new topics (e.g., AI / AI security) and turns them into relevant use cases and clear customer-facing positioning
• Collaboration & professionalism: strong team player with high integrity and a consistently professional presence; effective cross-functional collaboration with Sales/CS/Product, including knowledge sharing and coaching

What Will Make You Stand Out (Preferred Qualifications)

• Public-sector security/compliance expertise: hands-on experience with German/EU requirements and frameworks (e.g., BSI IT-Grundschutz, C5, KRITIS/NIS2) and ability to map solutions to these controls in customer conversations
• Presales excellence at scale: demonstrated use of qualification/deal frameworks (e.g., Value Selling or MEDDICC), strong discovery methodology, and a track record of building repeatable assets (demo storylines, workshop formats, value calculators)
• Strong cloud and identity ecosystem exposure: experience across major cloud platforms (AWS/Azure/GCP) and identity/zero-trust building blocks (IdP, MFA, conditional access), including integrations and reference architectures

#LI-LS2 

#LI-Remote

We’re looking for a seasoned Principal Specialist Sales Engineer to join our team. This is a fully remote role based in Germany, reporting to the Solutions Specialist Director within the Global Speciality Sales Organisation. As a member of the Core GTM Team, the Principal Specialist Sales Engineer's role is to be the lead technical team member when it comes to Data Security in their Area/Region. Working with their Account Executive team they will work closely with the Core Sales team in order to showcase product value and work with the Product and Engineering teams to drive innovation.

What you’ll do (Role Expectations)

• Providing technical expertise and advice to enterprise customers

• Taking total ownership of the technical sale and processes

• Independently delivering sales pitches, technical and whiteboards presentations

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.

• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.

• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• BSCS or equivalent with extensive experience as an SE or systems integrator

• More than 7 years of experience in Pre-Sales roles, with at least 3 years of experience in selling security / networking solutions in value based direct sales or high-touch sales environments

• Hands-on expertise in Data Protection and web related technologies

• Must be proficient at working in a matrix environment, working with the larger GTM team to promote, sell and support the Data Security Business line

• Fluency in German

What Will Make You Stand Out (Preferred Qualifications)

• Experience working with Zscaler (or competitive solutions) in the Data Protection Market

• Understanding of SaaS based technologies and regulatory compliance for the Geo

• Experience working in a matrix environment, teaming with a larger GTM and Partner Ecosystem

#LI-Remote

#LI-LS2

You’re a seasoned Site Reliability Engineer with years spent running production Kubernetes at scale, and you’re the kind of engineer who takes the initiative when something can be better — observability, resilience, a tricky upgrade, or the way the team thinks about security. You’re looking for a role where that initiative has room to turn into real improvements on a platform that customers trust with their most confidential data. 

In this role you’ll join our operations team for our MeetingSuite product in Munich — a flat and diverse SRE team of four engineers. It’s a team where influence comes from example rather than authority. Your day-to-day is keeping our Kubernetes platforms observable, resilient and boring-to-upgrade: GitOps with Flux, multi-AZ design, zero-downtime releases, and a centralised observability story every service owner can use without calling SRE. Alongside that, you’ll partner closely with our Application Security Engineer on Kubernetes and container security — with room to grow into our security champion over time — to keep the bar high for the DAX 30 and other DACH customers we serve. 

If multi-cluster Kubernetes, GitOps, logging, monitoring and NoSQL database management on Kubernetes are in your vocabulary, read on. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Operate and continuously improve our Kubernetes production platforms, contributing to zero-downtime upgrades and multi-AZ resilience as team-wide goals. 

• Grow into the team’s expert on our ELK-based log platform — centralised cross-cluster monitoring and anomaly detection — so every service owner can see, alert on and debug their workload without SRE hand-holding. Maintain and evolve our Prometheus alerting rules and Grafana dashboards alongside the team. 

• Partner with our Application Security Engineer on Kubernetes and container security — admission control, workload identity, secrets management, network segmentation and runtime threat detection — with an interest in growing into our security champion over time. 

• Love automation. Chip away at operational toil — deployments, monitoring setup, internal reporting — building on the baseline the team already has, and ship reliably through our GitOps workflow (Flux, GitLab CI). 

• Participate in our Standby and Daily Business rotation, lead incident response, run blameless post-mortems and drive the resulting action items to completion. 

These are the essentials you’ll need to get an interview: 

• Several years hands-on SRE, DevOps or Platform Engineering, including meaningful time running production Kubernetes at scale. 

• Strong Kubernetes expertise with deep hands-on experience in at least one area — cluster lifecycle and upgrades, workload identity and RBAC, admission control, network policies, or custom resources and operators — and working familiarity with the rest. 

• Solid grasp of Kubernetes and container security — secrets management, network segmentation and runtime protection — and an interest in growing into our security champion alongside our Application Security Engineer. 

• Proven depth in the ELK stack (or a very similar log platform) — pipelines, indexing, dashboards, alerting — with an interest in growing into the team’s observability expert. Working knowledge of Prometheus and Grafana. 

• Comfortable with GitOps and CI/CD as a daily way of working (we run Flux and GitLab CI; equivalents like Argo CD, GitHub Actions or Jenkins are fine), and hands-on experience with Helm and Kustomize for managing manifests. Solid coding in Go, Python or Bash, with a love for automating away repetitive work. 

• Comfortable being on-call and leading incidents calmly under pressure. 

• Professional fluency in German and excellent English; at home working in a diverse team. 

It would be great if you had these to, but we’ll support you if you don’t: 

• Experience in regulated industries (financial services, legal, healthcare, defence) or under compliance frameworks such as ISO 27001 or C5. 

• Track record of designing or contributing to custom Kubernetes Operators. 

• Service-mesh experience (Istio, Linkerd, Cilium). 

• A demonstrated interest in working shoulder-to-shoulder with AppSec engineers to raise platform security posture. 

• Experience operating Couchbase (Couchbase Operator, server groups, XDCR) or another stateful data platform on Kubernetes. 

• Experience migrating ingress controllers or other cluster-wide components with zero customer downtime. 

• Experience with anomaly detection on platform telemetry. 
  
  #LIHybrid

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community. 

As Principal Analytics Engineer, you will define and drive the architecture, modeling standards and core analytical foundations that power enterprise-wide insights and AI-driven analytics. You will enable scalable data models, aligned KPIs, and intelligent analytical experiences that accelerate decision-making across AutoScout24.

WHAT YOU’LL DO 

• Define and evolve the architecture for enterprise analytical models with a strong focus on scalability, clarity and long-term robustness 

• Design and maintain advanced semantic layers to unify KPIs and analytical logic across business domains 

• Set technical direction, align stakeholders and drive adoption of modern modeling practices across the organisation 

• Lead the definition and implementation of AI-driven analytical capabilities, including text-to-SQL, automated insights, semantic modeling for AI and conversational analytical interfaces 

• Develop modeling patterns, documentation standards and workflows that improve analytical efficiency and usability 

• Partner with data platform, engineering and analytics teams to deliver high-performance pipelines from ingestion to consumption 

• Optimise AWS cloud-native services (Glue, Athena, S3, MWAA) to support scalable analytical and AI workloads 

• Continuously improve modeling patterns, performance and development processes to raise overall technical maturity 

• Mentor analytics engineers and analysts to strengthen modeling skills and consistent technical standards 

• Deliver high-quality semantic assets that fuel self-service analytics, reporting and AI-powered insights 

YOU COME WITH 

• 7+ years in advanced Analytics Engineering or Data Engineering roles, with deep experience building and scaling enterprise analytical models 

• Strong ability to influence technical and business stakeholders and drive architectural alignment 

• Proven leadership across complex data initiatives, with a proactive, collaborative and solution-driven mindset 

• Demonstrated experience in AI-driven analytics, including text-to-SQL, automated insights, semantic modeling for AI and conversational BI 

• Extensive hands-on expertise with AWS (Glue, Athena, S3, MWAA) and familiarity with BigQuery 

• Expert-level Python and PySpark skills for large-scale analytical processing 

• Expert-level SQL and mastery of dimensional modeling techniques 

• Strong understanding of data privacy, security and compliance in analytical system design 

• Proven ability to optimise large datasets, improve performance and troubleshoot complex system behaviours 

A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.    

For a career where you can drive our business and shape your future, apply now. 

About the Position

As a Senior Data Engineer, you’ll play a key role in building and scaling the data infrastructure that powers our AI-driven platform. You’ll be responsible for designing, implementing, and optimizing reliable and scalable data pipelines that process large volumes of structured and unstructured data, from synthetic LLM prompts to large-scale web-scraped datasets, across a growing AWS-based data ecosystem. 

This role is focused on enabling rapid scale. Our data volume and traffic are increasing quickly as we expand to new AI channels and data sources, and we need robust, production-grade data systems that can keep pace with that growth. You’ll work closely with engineering, product, and go-to-market teams to ensure data is reliable, observable, and reusable across the organization. 

A core part of the role will be shaping the evolution of our data platform, including contributing to the design and implementation of our Data Lake architecture. You’ll help ensure our pipelines can handle increasing load, maintain high data quality, and support new product capabilities as we scale. 

You’ll also act as a trusted technical partner across teams, helping establish data best practices, improving operational reliability, and enabling teams to use data effectively in both product and business contexts. 

This role is remote in Germany.

What You’ll Be Doing

• Design, build, and maintain scalable data pipelines that ingest, transform, and validate large volumes of data across multiple sources and channels.  
• Improve the scalability, reliability, and performance of our data pipelines to support rapidly growing workloads and new data streams.  
• Contribute to the design and implementation of our Data Lake architecture, enabling reliable data storage and reuse across teams.  
• Manage and optimize data ingestion workflows, including data collected from web scrapers, third-party vendors, and internal systems.  
• Monitor pipeline health, investigate incidents, and implement improvements to increase system reliability and observability.  
• Support the onboarding and integration of new AI channels and data sources into the platform.  
• Collaborate with teams across the organization to ensure data generated by different systems can be reused effectively for analytics and business intelligence.  
• Identify and resolve performance bottlenecks in distributed systems, including rate limiting, concurrency, and throughput constraints.  
• Advise engineering and product teams on data architecture, data quality, and best practices for managing scalable data workflows.  
• Continuously evaluate and improve our data platform to support the company’s rapid growth and evolving product needs.  

Qualifications

• Strong experience building and operating scalable data pipelines in production environments.  
• Hands-on experience working with Data Lakes or Data Warehouses (e.g., AWS Athena or similar technologies).  
• Experience with data transformation and modeling.  
• Strong experience working with AWS. 
• Experience using Infrastructure-as-Code tools to manage cloud infrastructure.  
• Proficiency in Python for data processing and automation.  
• Experience working with distributed systems and managing large-scale data workflows.  
• Experience implementing monitoring, observability, and incident response practices for data systems.  

Nice to have:

• Experience working with large-scale web scraping or external data ingestion systems.  
• Experience supporting systems with rapidly increasing traffic or data volume.  

About Bluefish:

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

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

Why Bluefish & Our Values:

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

Our Values:

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

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.