The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.

Areas of ownership:

Project Ownership & Delivery

• Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality).
• Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit.
• Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile.
• Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams.
• Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log.

Customer & Stakeholder Management

• Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders.
• Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews.
• Translate technical complexity into clear business impacts for executive stakeholders.
• Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. 

Cross-Functional & Pod Coordination

• Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability.
• Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning.
• Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations.
• Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths.

Methodology & Process Discipline

• Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects.
• Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs).
• Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan.

Metrics & Reporting

• Define and track deployment KPIs, such as:
• Time to Blueprint, Time to First Agent in UAT, Time to Go-Live
• Milestone On-Time Rate
• Defect and incident trends during QA/UAT and Hypercare
• Report delivery status, risk posture, and mitigation plans to internal and external stakeholders.
• Contribute data to capacity and utilization models to inform planning and staffing.

Who you are:

• 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
• Hands-on experience delivering solutions involving at least one of:
• Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
• Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
• Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
• Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
• Excellent communication, facilitation, and conflict resolution skills.
• Proven track record managing multiple concurrent projects with global, distributed teams.
• Fluency in English & German is required

NICE TO HAVE:

• Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
• Background in professional services or consulting working with enterprise clients.
• Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
• Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
• Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. 
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. 
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. 
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. 
• Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. 
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. 
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. 
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. 
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. 
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. 
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. 
• Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. 
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. 
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. 
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +10 million customers who trusted us with over 100B in assets. But we’re striving for more. 

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU'LL BE DOING

Our Operations Platform team leads the development of automated workflows and tools for our Operations and Customer Support staff to achieve an amazing customer experience.
To achieve this, we recognise that data isn't just a resource - it's a cornerstone. In this role you will:

• Plan and execute the roadmap for your services together with the team
• Play a pivotal role in designing the architecture of your data products, ensuring they are scalable, robust, and synergistic with our existing platforms
• Research, build, test and deploy models - this is where you will spend most of your time. With a focus on team ownership, this gives a lot of time for our developers and data scientists to actually work technically instead of with process
• Once deployed, you will continue to oversee your products, monitoring their performance metrics and making data-driven adjustments as needed to optimise result 

WHAT WE'RE LOOKING FOR

• at least 5 years of end-to-end data science and software engineering experience, preferably in a dynamic environment with a modern tech stack
• Experience working in Operations, specifically significant experience in customer service automations
• Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
• Strong command of SQL, Python together with its scientific stack (numpy, pandas, matplotlib, scikit-learn)
• Good understanding of Software Engineering practices (e.g. test-driven development, OOP, CI/CD, etc.) and experience with productionizing ML products
• Recent hands-on experience in deploying and maintaining an AI agent/workflow powered by LLMs, using both low level SDKs (openai, anthropic, google-genai,..) and prompt engineering frameworks (llama-index, langchain, dspy, ..)
• General understanding of LLMOps principles, for evaluating, testing, versioning and experimenting prompts in staging and production (langsmith, langfuse, arize-phoenix, lunary, ..)

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

The role

We’re looking for a driven and dynamic Display and Video Marketing Team Lead to manage and strengthen the core operations of our channel. In this role, you’ll play a key part in ensuring our marketing efforts remain scalable, leading to a high-performing acquisition channel across brands, while also driving innovation in strategy, execution, and optimization to keep us ahead in a rapidly evolving digital landscape.

You’ll lead the way on tactical campaign execution, performance optimization, and operational excellence across platforms like Google Ads, Dv360, AmazonAds, turning insights into action and growth at scale.

As the Team Lead, you’ll bring a strong performance marketing background, hands-on Display & Video expertise, and the ability to manage multiple stakeholders in a fast-paced environment. You’ll also act as the main point of contact for our external agency partners, ensuring full alignment on plans, priorities, and execution across markets.

What you’ll do

• Campaign execution oversight: Oversee campaign quality and consistency, from set-up and pacing to budget allocation and optimization, ensuring smooth execution against targets.
• Performance management: Review weekly media plans, monitor budgets, and deliver performance reports with actionable insights that connect to strategic objectives.
• Cross-functional collaboration: Partner closely with local marketing, creative, and analytics teams to deliver coordinated and effective campaigns.
• Agency management: Act as the key liaison for external agencies; align on campaign plans, execution, and priorities across multiple markets.
• Operational excellence: Continuously improve processes and systems to make the channel more predictable, efficient, and scalable.

What you’ll bring

• A strong academic background in Marketing, Business, Analytics, or a related field
• 6+ years of experience in performance marketing, with a proven track record in managing display and video operations across Google ads and other DSPs. 
• 2+ years of management experience, with the ability to mentor, develop, and guide a team
• Highly data-driven, action-oriented, organized, and a natural problem solver
• Strong relationship management and stakeholder engagement skills
• A self-starter who takes ownership from day one and leads with integrity, precision, and accountability

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

About the Team

About the Role

What you’ll do

• Lead and mentor a globally distributed team of security engineers focused on application security, offensive testing, secure architecture, and vulnerability remediation.
• Lead and coordinate the team's initiatives and help provide project management leadership to the team members.
• Coordinate cross function and cross stream initiatives and projects.
• Drive integration of security into Miro’s Discover, Define, Deliver lifecycle through the lens of the AMPED Ways of Working and Operating Model.
• Collaborate with Product, Engineering, and Design to ensure security is considered at the earliest stages of ideation—via threat modeling, risk reviews, and abuse-case analysis.Shape and evolve Miro’s Secure SDLC practices, integrating security seamlessly into CI/CD pipelines, infrastructure-as-code, and developer tooling.
• Oversee execution of bug bounty and third-party testing programs, ensuring vulnerabilities are triaged, communicated, and remediated effectively.
• Build and scale Miro’s Security Champions program to embed security ownership within each engineering team.
• Guide secure adoption of AI-augmented software development tools, including LLMs used for code generation, reviews, or architectural assistance.
• Help envision and safely operationalize Agentic AI-driven developer and security workflows, including policy-driven autonomous agents supporting security automation and decision-making.
• Provide structured guidance, patterns, and reference architectures that support developers in implementing secure, scalable, and privacy-respecting features.
• Define and report on KPIs and success metrics for secure development adoption, vulnerability resolution, and developer engagement.
• Collaborate with Privacy, Legal, and Compliance teams to ensure alignment with regulatory requirements (ISO 27001, SOC 2, GDPR, and emerging AI regulations).
• Foster a strong team culture based on collaboration, learning, and continuous improvement.

What you’ll need

• 10+ years of experience in software, application, or product security, including significant experience in secure software development.
• 3+ years of technical leadership or management experience in a security-focused role.
• Extensive experience with threat modeling methodologies (e.g., STRIDE, PASTA) and risk assessment, particularly within a SaaS or product-centric organization.
• Deep expertise in Secure Software Development Lifecycles (SSDLC), including integrating security into agile and custom development frameworks.
• Demonstrated experience running Security Champions programs and scaling developer engagement.
• Experience leading offensive security programs (penetration testing, red teaming, bug bounty).
• Practical understanding of governance and assurance frameworks such as ISO 27001, SOC 2, and OWASP SAMM.
• Familiarity with AI/LLM tooling (e.g., Cursor, GitHub Copilot, custom LLM integrations) and the associated security and governance considerations.
• Experience working with AWS and securing API-driven, microservice-based architectures.
• Ability to manage distributed teams and communicate effectively across technical and business stakeholders.

Who You Are (Skills & Attributes)

• Developer-Aligned: You understand the pace and pressure of modern software development and are committed to reducing friction while improving security posture.
• An Exceptional Communicator: You can articulate complex technical risks to non-technical stakeholders and translate business goals into security strategy for your team.
• A Natural Collaborator: You excel at building strong relationships and influencing cross-functional teams without direct authority.
• A Pragmatic Problem-Solver: You are skilled at identifying scalable, risk-based solutions and are comfortable navigating ambiguity in a fast-paced environment.
• Data-Driven: You use metrics and KPIs to measure the effectiveness of your programs and drive continuous improvement.
• A Passionate Mentor: You are dedicated to developing talent and empowering engineers and product managers to be security champions.

Why Join Miro’s Security Team?

As a member of Miro’s security leadership, you’ll help define how innovation and trust scale together. You’ll work across the AMPED operating model, empower developers through secure tooling, and support cutting-edge AI-driven and agentic workflows that redefine how software and teams are built. If you thrive on technical depth, cross-functional collaboration, and advancing the next era of secure software development, this role is for you.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

About the opportunity

We are looking for a Senior AI & Automation Manager to join our Growth Operations team and lead the "AI Operator & Tooling Strategy" for N26 Marketing. This isn't just about managing tools; it’s about reimagining how a modern marketing organization functions. You will be our internal expert on the latest AI developments, identifying exactly where automation can replace manual tasks and where AI can supercharge our creative output. If you are a MarTech enthusiast who loves deconstructing complex workflows and rebuilding them to be faster, smarter, and more scalable, you will play a pivotal role in defining the future of growth at N26.

In this role, you will:

• Architect AI-Driven Workflows: Lead the integration of cutting-edge AI tools and automation (e.g., using n8n or Zapier) into marketing workstreams to accelerate production, approvals, enhance creative output without compromising on N26’s premium brand consistency, and feed the output into the different Marketing platforms.
• Optimize Marketing Efficiency: Conduct deep-dive analyses of existing team workflows to identify friction points and implement structural improvements that boost overall operational velocity.
• Scale Performance Reporting: Develop and manage automated reporting frameworks to track team performance, and operational efficiency, providing the data needed for strategic resource allocation.
• Build the MarTech Ecosystem: Design and deploy scalable processes and custom tooling (including Lokalise and DAM integrations) that ensure consistency across global campaigns, from brief to execution.
• Modernize Project Management: Own and optimize our project management systems (e.g., Jira, Figma) to ensure they are fit-for-purpose, enabling seamless collaboration across the entire Marketing organization.
• Drive AI Adoption & Organizational Maturity: Act as the primary advocate for AI within Growth, developing comprehensive training frameworks and enablement sessions that empower team members to leverage new technologies, ultimately increasing the department's technical maturity and operational autonomy.

What you need to be successful:

• Proven MarTech & AI Delivery: You have 5+ years of experience in automation or operations, with a documented track record of building and launching multiple AI-driven initiatives from the ground up. You have successfully scaled AI projects that solve tangible customer problems while driving significant operational impact.
• Process Engineering Mindset: You have a natural ability to map complex business processes and a passion for finding "the better way" to get work done through technology.
• Advanced Systems Proficiency: You are an expert in configuring and managing Jira and have hands-on experience with orchestration tools (e.g., n8n) and creative collaboration platforms like Figma.
• Data-Driven Approach: You are comfortable working with performance data and can translate operational metrics into clear reports that demonstrate the impact of your efficiency gains.
• Cross-Functional Enablement: You can bridge the gap between technical possibilities and marketing needs, effectively coaching teams on how to adopt new tools and AI-driven methodologies.

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• Additional day of annual leave for each year of service.  
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. 

Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all

At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

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

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

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

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

The venue…

SOHO HOUSE BERLIN is a private members' club and hotel in a listed building in the heart of the capital. In addition to restaurants, a fitness studio, rooftop pool, in-house cinema and a spacious spa area, the hotel offers 65 rooms in various sizes, 20 flats and four lofts. In addition to Berlin and Great Britain, there are other houses in the USA, Toronto, Barcelona, Amsterdam, Istanbul and Mumbai. The SOHO HOUSE includes the concept store THE STORE X. THE STORE X is a platform for ideas and culture. The range includes fashion, art, design and also attracts a global community of creative people to 180 The Strand in London, Soho House Berlin and Soho Farmhouse in Oxfordshire. Our aim is to present a new kind of experience space that exceeds customer expectations of traditional retail and shopping.

The role...

As an accounts receivable agent, you play an important role in accounting. In close contact with members, guests and colleagues you ensure the correct invoicing and much more.

Main Duties…

• Preparation of invoices and deposit invoices in line with company standards
• Accounts receivable and guest ledger management, including monitoring of open balances in cooperation with the Front Office team
• Daily posting and reconciliation of bank transactions in Opera
• Issuing payment reminders and coordinating collecting process
• Daily control of in-house payments and cash movements
• Reconciliation of cash accounts and follow up

Requirements…

• successfully completed vocational training in the hotel industry or in the commercial sector
• work experience in accounting desirable, preferably in the hotel industry
• experience with OPERA / MICROS desirable
• good knowledge of MS Office
• good knowledge of the German and English language
• willingness to work independently
• friendly, open and professional demeanour

As part of our Club team your role is to make sure that our members have an amazing experience every time. Possessing natural hospitality charm, we will give you a platform to connect, grow, have fun and make an impact.

Benefits...

• 2 paid 'Volunteer Days' per calendar year (to support charitable causes).
• Soho Friends Membership
• Monthly movie screenings in the in-house cinema with current movies
• Monthly workout opportunities (including inter-departmental).
• Weekly Yoga/Pilates classes
• 50% discount on our Cowshed products
• Discounts with external providers (corporate benefits)

We would like to point out that we will store and process your data within the scope of the application process in accordance with the provisions of the Federal Data Protection Act. 

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As an AI Engineer on this team, you will build the core intelligence systems behind our multimodal AI platform.You will be responsible for moving beyond simple chat interfaces to build high-performance, real-time systems that handle complex reasoning, deep context retrieval, LLM orchestration, retrieval-augmented generation (RAG) and seamless voice interactions.

Main responsibilities:

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction  (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements..
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation  models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

We are looking for some of:

• Strong Python and/or Java Engineering Skills: Advanced-level Python development experience, including  asynchronous programming (e.g., FastAPI, asyncio) and building high-performance, production-grade services. Experience with streaming architectures is a strong advantage.
• LLM Application & Multi-Agent Orchestration Experience: Hands-on experience building LLM-powered systems, including multi-step workflows, stateful agents, and tool invocation. Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph, particularly in building stateful, multi-turn agents.
• Advanced Retrieval & Context Management: Deep understanding of vector databases (e.g., Weaviate, Qdrant, pgvector, Elasticsearch), semantic search, embedding strategies, and re-ranking techniques. Experience designing and optimizing RAG pipelines.
• Real-Time & Low-Latency Systems: Experience in designing systems that operate under latency constraints, including streaming APIs, event-driven architectures, and performance optimization. Understanding of trade-offs between quality, cost, and response time.
• Evaluation-Driven Development: Experience in implementing evaluation frameworks for LLM-based systems, including automated QA pipelines and LLM-as-a-judge patterns.
• Familiar with API Design: knowledge of RESTful API design, OAuth2

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As a DevOps Engineer in this team you will  build the foundation of our internal AI Customer Care platform. You will be responsible for the "heavy lifting"—designing the distributed systems that power real-time speech-to-speech pipelines, orchestrating agentic workflows via MCP, and ensuring our AI scales without breaking a sweat.

Main responsabilities:

• Design, build, and maintain CI/CD pipelines in collaboration with development teams
• Improve and gradually redesign our infrastructure toward container orchestration
• Maintain and optimize Debian-based Linux systems
• Ensure high availability and monitoring across multiple data centers
• Contribute to observability, monitoring, logging, and incident response practices
• Automate infrastructure provisioning and configuration
• Maintain ISO security standards throughout the infrastructure 
• Handle vulnerabilities, ensure dependency tracking
• Work closely with developers to optimize deployment workflows and runtime environments
• Use AI tooling effectively (Claude, ChatGPT, internal MCP tools) to improve productivity and automation
• Architect Low-Latency Pipelines: Build and optimize the streaming infrastructure for Speech-to-Speech (S2S), ensuring sub-500ms round-trip latency for natural voice interactions.Experience with scaling and deploying in zones. Minimize hops between services. Experience with WSS & SRTP protocol would be a plus. 
• Hosting Specialized tooling: Host and maintain the specialized applications needed in our AI pipelines (eq. MCP servers, Vector store databases, Caching apps, etc..) Monitor and respond to unhealthy patterns (high memory, high cpu, low disk space, high latency).
• Data & Evaluation Plumbing: Host and maintain our Automated QA Module. Schedule jobs and design alerts that would need a rapid response (High hallucinations or low response quality for latest nightly run, etc..).

We are looking for some of:

• Strong Linux administration experience, preferably Debian-based systems
• Hands-on experience with Kubernetes in production environments
• Experience with cloud native architectures (design, build, operations)
• Solid understanding of networking fundamentals:
• Subnetting
• Routing
• BGP concepts and high-availability design
• Experience with CI/CD systems and infrastructure automation tools
• Good scripting skills (Bash, Python or similar)
• Ability to troubleshoot distributed systems
• Systems Expertise: DevOps knowledge: Docker or Docker Swarm, Kubernetes, ArgoCD, JFrog Artifactory, Infrastructure-as-Code, CI/CD, Helm, Prometheus, Terraform, Gitlab/Github CI, Grafana, Jenkins
• Familiar with monitoring stack: Prometheus/Grafana (Metrics), ELK (Logs) & Jaeger (Trace) etc.
• Best practices on how to secure systems and pipelines: OpenID Connect, OAuth 2, Hashicorp Vault, Keycloak, Keepass, Ansible-vault.

Would be a plus:

• Experience with telephony gateways (Twilio, Amazon Connect) and SIP/RTP protocols  or other telephony platforms
• Experience migrating from VM-based infrastructure to container orchestration
• Exposure to AI-driven development workflows

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

We are seeking an exceptional Webinar Content Specialist who is eager to work at the forefront of where technology is heading: AI and Digital Sovereignty. This is a high-impact, creative role that goes beyond coordination; you will architect the planning, execution, and optimization of a global webinar engine. As a master storyteller and AI-first strategist, you will collaborate with Marketing, Sales, and Product teams to ensure our digital education ecosystem aligns with broader business goals.

You are someone who thinks in systems, leveraging a data-driven approach and cutting-edge AI automation to position IONOS as a thought leader in next-generation technology across 18 countries. If you are an exceptional communicator, an innovative automation architect, and ready to make a global impact, we want to hear from you.

Tasks

• Lead Moderator & Host: Represent the IONOS Group as the primary face and voice of our webinar programs. 
• You will host live sessions, manage audience engagement, and facilitate high-level discussions with internal and external subject matter experts.
• AI-First System Architecture: Build and maintain high-velocity content production pipelines.
• You will leverage advanced AI workflows to accelerate everything from initial drafting and design conceptualization to multi-market localization at scale.
• Global Strategy & Roadmap: Own the end-to-end webinar strategy, ensuring the annual program roadmap is perfectly aligned with marketing campaigns, product launches, and demand generation priorities.
• Ecosystem Innovation: Continually evaluate and integrate emerging virtual event technologies and automation platforms to ensure our digital education infrastructure remains at the absolute cutting edge.
• Performance & ROI: Own the analytics suite for attendance, engagement, and conversion.
• You will use data-driven insights to predict audience needs and optimize the webinar contribution to the sales pipeline.
• Cross-Functional Leadership: Partner with Sales, Product, and Regional Marketing teams to ensure seamless lead handoffs and consistent messaging across all 18 markets.

Qualifications

• Native AI Fluency: You have a demonstrated, hands-on mastery of AI tools across the full content workflow (text, image, video, and data). You think in automation first.
• Communication Mastery: You are highly comfortable on-camera and have a natural talent for engaging live audiences across different cultures and technical backgrounds.
• Professional Experience: Minimum 5 years in digital events, or marketing automation role with proven results in lead generation with min 3 years in webinar management.
• Performance focus: Analytical mindset to interpret data and optimize webinar performance.
• Language: Native-level fluency in English and German is mandatory.
• Technical Stack: Expertise in HubSpot, GoToWebinar, Webinaris, Cvent, or equivalent. Experience with automation platforms like n8n or Zapier is a strong advantage.

Benefits

• Hybrid working model.
• Flexible working hours through trust-based working hours.
• At some locations a subsidized canteen and various free drinks.
• Modern office space with very good transport connections.
• Various employee discounts for activities and products.
• Employee events such as summer and winter parties, as well as workshops.
• Numerous training and development opportunities.
• Various health offers, such as sports and health courses.

About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As a DevOps Engineer in this team you will  build the foundation of our internal AI Customer Care platform. You will be responsible for the "heavy lifting"—designing the distributed systems that power real-time speech-to-speech pipelines, orchestrating agentic workflows via MCP, and ensuring our AI scales without breaking a sweat.

Main responsabilities:

• Design, build, and maintain CI/CD pipelines in collaboration with development teams
• Improve and gradually redesign our infrastructure toward container orchestration
• Maintain and optimize Debian-based Linux systems
• Ensure high availability and monitoring across multiple data centers
• Contribute to observability, monitoring, logging, and incident response practices
• Automate infrastructure provisioning and configuration
• Maintain ISO security standards throughout the infrastructure 
• Handle vulnerabilities, ensure dependency tracking
• Work closely with developers to optimize deployment workflows and runtime environments
• Use AI tooling effectively (Claude, ChatGPT, internal MCP tools) to improve productivity and automation
• Architect Low-Latency Pipelines: Build and optimize the streaming infrastructure for Speech-to-Speech (S2S), ensuring sub-500ms round-trip latency for natural voice interactions.Experience with scaling and deploying in zones. Minimize hops between services. Experience with WSS & SRTP protocol would be a plus. 
• Hosting Specialized tooling: Host and maintain the specialized applications needed in our AI pipelines (eq. MCP servers, Vector store databases, Caching apps, etc..) Monitor and respond to unhealthy patterns (high memory, high cpu, low disk space, high latency).
• Data & Evaluation Plumbing: Host and maintain our Automated QA Module. Schedule jobs and design alerts that would need a rapid response (High hallucinations or low response quality for latest nightly run, etc..).

We are looking for some of:

• Strong Linux administration experience, preferably Debian-based systems
• Hands-on experience with Kubernetes in production environments
• Experience with cloud native architectures (design, build, operations)
• Solid understanding of networking fundamentals:
• Subnetting
• Routing
• BGP concepts and high-availability design
• Experience with CI/CD systems and infrastructure automation tools
• Good scripting skills (Bash, Python or similar)
• Ability to troubleshoot distributed systems
• Systems Expertise: DevOps knowledge: Docker or Docker Swarm, Kubernetes, ArgoCD, JFrog Artifactory, Infrastructure-as-Code, CI/CD, Helm, Prometheus, Terraform, Gitlab/Github CI, Grafana, Jenkins
• Familiar with monitoring stack: Prometheus/Grafana (Metrics), ELK (Logs) & Jaeger (Trace) etc.
• Best practices on how to secure systems and pipelines: OpenID Connect, OAuth 2, Hashicorp Vault, Keycloak, Keepass, Ansible-vault.

Would be a plus:

• Experience with telephony gateways (Twilio, Amazon Connect) and SIP/RTP protocols  or other telephony platforms
• Experience migrating from VM-based infrastructure to container orchestration
• Exposure to AI-driven development workflows

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

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? 

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

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

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

What will I be doing? 

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Deeply understand the problem area

• Research and identify the right algorithms and tools

• Being pragmatic, but innovating right to the cutting-edge when needed

• Perform offline evaluation to gather evidence an algorithm will work

• Work with engineers to bring prototypes to production

• Plan, measure & socialize learnings to inform iteration

• Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need? 

• Broad applied machine learning knowledge

• 3-5 years applied ML experience

• Practical stats knowledge (experiment design, dealing with confounding etc)

• Intermediate programming skills

• Strong communication skills, both within engineering teams and across disciplines.

• Comfort with ambiguity

• Typically have advanced education in ML or related field (e.g. MSc)

• Scientific thinking skills

Bonus skills & attributes 

• Track record shipping ML products

• PhD or other experience in a research environment

• Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

• Strong stats or math background

• Visualization, data skills, SQL, matplotlib, etc.

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
• Generous family leave (maternity, paternity), to let you spend valuable time with your loved ones
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• Fun events for Intercomrades, friends, and family!

About the Position

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

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

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

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

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

What You’ll Be Doing

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

Qualifications

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

About Bluefish:

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

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

Why Bluefish & Our Values:

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

Our Values:

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

About the Position 

As a Senior AI Engineer, you'll spearhead the development of LLM-powered products at the forefront of marketing and advertising technologies. Utilizing your expertise in machine learning, large language models, and natural language processing, you'll play a pivotal role in designing, implementing, and enhancing our range of AI-driven solutions.

You'll hold direct responsibility for the LLM technology stack central to our product suite, collaborating closely with cross-functional teams, including application engineers, product managers, and designers, to deliver robust and innovative solutions that drive tangible business outcomes.

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

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

What You’ll Be Doing

• Lead the development, training, and fine-tuning of large language models and LLM-driven solutions to tackle intricate NLP tasks. Implement and refine a robust, scalable architecture in production environments to ensure optimal performance.

• Evaluate and enhance the performance of existing models to uphold the highest standards of accuracy, efficiency, and reliability. Proactively address challenges concerning data quality, bias mitigation, and model interpretability.

• Keep abreast of the latest advancements in NLP and AI research, conduct experiments, and prototype new ideas to push the boundaries of LLM capabilities.

• Collaborate closely with cross-functional teams, including software engineers and product managers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.

• Continuously assess and integrate emerging technologies and best practices to enhance the effectiveness and efficiency of LLM-based solutions.

Qualifications

• Previous experience in a similar role within the tech industry, with a deep understanding of the practical applications and challenges of deploying LLMs in real-world scenarios.

• Strong theoretical and practical knowledge of machine learning and NLP.

• Extensive experience with training and deploying machine learning models, particularly withing the NLP/LLM domain. Proficiency in Python, ML frameworks and tools.

• Strong analytical and problem-solving abilities. Experience with data preprocessing, feature engineering, and model evaluation techniques.

• Proven track record of driving innovation in AI and NLP projects. Ability to think outside the box and develop creative solutions to challenging problems.

• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.

About Bluefish:

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

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

Why Bluefish & Our Values:

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

Our Values:

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

What we do

What you'll do

• Design, ship, and operate production-grade agentic LLM systems that improve patient-practitioner interaction and streamline healthcare workflows
• Validate hypothesis with offline evaluation datasets and A/B tests on real traffic
• Partner with other machine learning teams to design and improve evaluation pipelines, security/safety guardrails, and metrics
• Develop and maintain core agentic capabilities, including memory, reasoning orchestration, and tool adapters, ensuring strong observability, fallback mechanisms, and fail-safe behaviors
• Own performance, observability, and security: monitoring dashboards, SLO/SLI, security posture
• Ensure privacy and security by design
• Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices in building agentic systems that will reinvent the work of health professionals and improve people's health

About our tech environment

• Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!

Who you are

• You have 6+ years of experience as a software engineer, with significant experience using Python
• You have a track record of experience with the full lifecycle of an AI product at scale, from initial evaluation and launch to iterations based on results in production
• You understand and promote best practices related to the software development life cycle, such as automated testing, good use of CI/CD, and DevOps practices (you build it - you run it)
• You are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints
• You are very focused on code quality and have a rigorous testing culture
• You are eager to share your knowledge and help the team grow by pair programming and mentoring
• You are comfortable speaking & writing in English in your day-to-day with the team

• Have experience with agentic systems in production
• Have experience in the medical domain

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy
  of 40% (15% within the probationary period)
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

The interview process

• Recruiter Interview
• Feature Building Interview
• AI System Design Interview
• Behavioral Interview
• Reference check
• Offer!

Job details

• Full-time
• Location: Berlin
• Working mode: Hybrid
• Start date: as soon as possible

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

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

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

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

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

The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.

Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.

In this role, you will: 

• Design and prototype machine learning solutions to improve the software development workflow.
• Apply existing open-source models or train custom ones as needed.
• Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
• Stay up to date with the latest advancements in applying machine learning to source code.
• Collaborate with colleagues and provide mentorship when appropriate.

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

• Have experience designing machine learning systems from scratch.
• Have a background in natural language processing or code modeling.
• Have a proven track record of delivering machine learning projects.
• Know how to design reproducible ML experiments.
• Enjoy working on projects with high uncertainty.
• Are proficient in Python, Java, or Kotlin.
• Have hands-on experience with modern ML frameworks.

It would be nice if you: 

• Have experience applying machine learning to programming languages.
• Have hands-on experience building and improving AI agents.
• Have experience in A/B testing and general knowledge of statistics
• Have worked with large-scale data processing pipelines

#LI-KP1

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

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

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

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

About the Role:

Solutions Architects on Planet’s Professional Services team are experienced technologists who work with customers to deeply understand their problems and make them successful users of Planet's product offerings. In this role, you will apply your remote sensing, geospatial, and scientific background, combined with deep knowledge of Planet’s technologies, to design and architect solutions that provide customers with the outcomes they need for long term value. Solutions Architects are good listeners and respected thought leaders that help guide large projects and teams to success outcomes and your efforts will be directly visible in customers' ability to make global change actionable.

This is a full-time, hybrid position and you will be required to work from one our Berlin or Haarlem office 3 days per week.

Impact You’ll Own:

• Architect, design, and pilot solutions, transforming customer requirements into robust solution architectures that align with your customer’s business and technology strategies.
• Deliver workshops, tailored demo-apps, and workflows, designing user experiences for solution prototyping and continuously improving the applications that customers experience.
• Support pre-sales and customer expansions on solution ideation and design by leveraging your remote sensing, geospatial, and geoinformatics knowledge, alongside technology experience in AI, machine learning, image processing, and geo-programming.
• Act as the technical lead in solution development teams within Agile environments, supported by project managers and software engineers who own the building of the solutions.
• Liaise with multiple cross-functional stakeholders, including product owners, technical project managers, and satellite and image quality engineers, for architecting the best solutions possible to Planet’s customers.
• Collaborate with sales, pre-sales, marketing, business development, legal, proposals, and other teams to support bidding and technical proposal writing for large civil government and commercial projects.
• Help own the customer success lifecycle from scoping and discovery, to project execution and delivery leading to customer satisfaction, value delivery and expansions.
• Champion Planet’s products and offerings in-person and via online assistance by providing training, presenting at conferences, writing technical tutorials, and publishing articles and videos.
• Interact and engage with users in Planet’s Education and Research program to source novel customer applications and unique insights.

What You Bring:

• A background in remote sensing, geoscience, or geoinformatics
• 4+ years of relevant work experience in a technical geospatial or remote sensing role.
• Bachelor’s degree in GIS, Computer Science, Remote Sensing, Geography, or a related field.
• Extensive programming ability with Python for geospatial applications, applying code best practices to process imagery, manipulate vector data, and build data pipelines.
• Experience with solution design, requirement gathering, product user story ideation, solutions design documentation, architecting and prototyping.
• Proficiency with QGIS, ArcGIS, GDAL, ENVI or other common geospatial software.
• Industry-specific knowledge and experience in domains such as forestry, natural disasters, sustainability, and agriculture.
• Familiarity with cloud-computing environments such as GCP, AWS, and Azure.
• Experience working in Agile, cross-functional teams, with knowledge and familiarity of efficient, metrics-based planning and delivery.
• Experience using AI for productivity, coding, and demo app creation (e.g., using Streamlit).
• Ability to run workshops or training sessions with users, including working directly with end-user troubleshooting.

What Makes You Stand Out:

• Advanced experience with machine learning algorithms applied to geospatial data, and the use of Claude and AI for geospatial application.
• Working knowledge of modern cloud tools and pipelines, including Google Functions, CI/CD integrations, Vertex AI and Amazon Bedrock.
• Knowledge of the Challenger methodology for liaising with clients - supporting them and helping them see what they are not seeing, especially as you guide them on the solutions journey.
• Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript) as well as web development frameworks like React.

Application Deadline:

June 29, 2026 by 11:59p / 23:59 CET (Central European Time)

Benefits While Working at Planet:

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

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

About the Role:

Solutions Architects on Planet’s Professional Services team are experienced technologists who work with customers to deeply understand their problems and make them successful users of Planet's product offerings. In this role, you will apply your remote sensing, geospatial, and scientific background, combined with deep knowledge of Planet’s technologies, to design and architect solutions that provide customers with the outcomes they need for long term value. Solutions Architects are good listeners and respected thought leaders that help guide large projects and teams to success outcomes and your efforts will be directly visible in customers' ability to make global change actionable.

This is a full-time, hybrid position and you will be required to work from one our Berlin or Haarlem office 3 days per week.

Impact You’ll Own:

• Architect, design, and pilot solutions, transforming customer requirements into robust solution architectures that align with your customer’s business and technology strategies.
• Deliver workshops, tailored demo-apps, and workflows, designing user experiences for solution prototyping and continuously improving the applications that customers experience.
• Support pre-sales and customer expansions on solution ideation and design by leveraging your remote sensing, geospatial, and geoinformatics knowledge, alongside technology experience in AI, machine learning, image processing, and geo-programming.
• Act as the technical lead in solution development teams within Agile environments, supported by project managers and software engineers who own the building of the solutions.
• Liaise with multiple cross-functional stakeholders, including product owners, technical project managers, and satellite and image quality engineers, for architecting the best solutions possible to Planet’s customers.
• Collaborate with sales, pre-sales, marketing, business development, legal, proposals, and other teams to support bidding and technical proposal writing for large civil government and commercial projects.
• Help own the customer success lifecycle from scoping and discovery, to project execution and delivery leading to customer satisfaction, value delivery and expansions.
• Champion Planet’s products and offerings in-person and via online assistance by providing training, presenting at conferences, writing technical tutorials, and publishing articles and videos.
• Interact and engage with users in Planet’s Education and Research program to source novel customer applications and unique insights.

What You Bring:

• A background in remote sensing, geoscience, or geoinformatics
• 4+ years of relevant work experience in a technical geospatial or remote sensing role.
• Bachelor’s degree in GIS, Computer Science, Remote Sensing, Geography, or a related field.
• Extensive programming ability with Python for geospatial applications, applying code best practices to process imagery, manipulate vector data, and build data pipelines.
• Experience with solution design, requirement gathering, product user story ideation, solutions design documentation, architecting and prototyping.
• Proficiency with QGIS, ArcGIS, GDAL, ENVI or other common geospatial software.
• Industry-specific knowledge and experience in domains such as forestry, natural disasters, sustainability, and agriculture.
• Familiarity with cloud-computing environments such as GCP, AWS, and Azure.
• Experience working in Agile, cross-functional teams, with knowledge and familiarity of efficient, metrics-based planning and delivery.
• Experience using AI for productivity, coding, and demo app creation (e.g., using Streamlit).
• Ability to run workshops or training sessions with users, including working directly with end-user troubleshooting.

What Makes You Stand Out:

• Advanced experience with machine learning algorithms applied to geospatial data, and the use of Claude and AI for geospatial application.
• Working knowledge of modern cloud tools and pipelines, including Google Functions, CI/CD integrations, Vertex AI and Amazon Bedrock.
• Knowledge of the Challenger methodology for liaising with clients - supporting them and helping them see what they are not seeing, especially as you guide them on the solutions journey.
• Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript) as well as web development frameworks like React.

Application Deadline:

June 29, 2026 by 11:59p / 23:59 CET (Central European Time)

Benefits While Working at Planet:

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

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

About the Role

We are looking for an experienced Senior Analytics Engineer to join our cross-functional product engineering team. In this role, as part of a modern, product-centric technology organization working with agile methodologies, you will play a key role in shaping and building analytics capabilities that turn complex music usage and copyright data into meaningful and reliable insights.

By driving the design and evolution of high-quality data models, enabling reliable business metrics, and delivering trusted data insights, you will help music societies and publishers better understand their data and accurately compensate songwriters and composers when their music is used around the world.

While the primary focus of the role is analytics engineering, this position also offers exposure to data engineering, including working with ETL/ELT pipelines, data ingestion to ensure reliable and scalable data flows that support analytics and reporting needs.

Key Responsibilities:

• Partner with stakeholders to translate complex business questions into scalable data models and analytics products, owning the delivery and quality of those products within a cross-functional team.
• Design and deliver impactful dashboards and reporting solutions providing clear insights for business stakeholders.
• Design scalable analytics data models and transformation pipelines, and define reusable datasets, business metrics, and semantic layer components used for reporting and analysis.
• Collaborate with platform and data engineers to design, improve, and scale ETL/ELT pipelines.
• Continuously optimize data workflows and transformations for performance, scalability, and cost efficiency.
• Ensure high standards of data quality and reliability across analytics datasets, pipelines, and reporting layers by implementing validation checks and monitoring.
• Ensure documentation, lineage, and dataset definitions are complete and consistently maintained across analytics assets.
• Contribute to the design and improvements of analytics platform architecture by proposing different approaches to the use of warehouses, reporting tools, and analytics services within the team.
• Mentor and support business users in effectively leveraging data visualization and analytics tools.

Requirements and Qualifications:

Required

• Strong SQL expertise and extensive experience designing scalable data models in modern data warehouses.
• Deep understanding of data modeling principles, including dimensional modeling and star schemas.
• Proven hands-on experience working with Snowflake data warehouse.
• Strong understanding of ETL/ELT architecture and data ingestion pipelines.
• Experience building data transformation pipelines within a modern data platform.
• Experience building dashboards and reports in BI tools.
• Proven experience building business-facing dashboards and reporting solutions.
• Strong analytical and problem-solving skills.
• Familiarity with AWS cloud platform.
• Experience with Python or other scripting languages for data processing or automation.
• Experience working with containerized environments (e.g., Docker) to support development and deployment of data pipelines and services.
• Ability to write clean, maintainable, and modular code.
• Experience using GitHub in collaborative development environments.

Nice to Have

• Experience with AWS QuickSight / Quick Suite.
• Experience implementing data quality monitoring and validation frameworks.
• Hands-on experience building data ingestion pipelines.
• Exposure to AI-enabled analytics solutions, such as systems that allow users to query data using natural language.

Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As a Product Support & Operations Specialist at Via, you will be at the core of how our partners experience our technology. When cities and operators run into issues with the platform that powers their transit networks, you're who they turn to. You'll resolve problems with speed and precision, build trusted relationships with partners, and act as the bridge between their day-to-day realities and Via's Product and Engineering teams. This is a great opportunity for early-career professionals to build deep technical expertise, gain cross-functional exposure, and make a tangible impact from day one.

About the Role:

• Get up to speed quickly through hands-on training and mentorship, becoming a true expert on Via's platform, tools, and industry context
• Prioritize operational issues and deliver technical, specific, and strategic responses with speed and quality, giving partners the clarity they need to keep their networks running
• Build close relationships with partners, understanding their realities and pain points so you can advise them in ways that consistently improve deployment outcomes
• Work cross-functionally with Product, Engineering, Operations, and Partner Success to tackle challenges that span multiple functions
• Identify product and process improvement opportunities, acting as the bridge between partners and technical teams to shape prioritization and scalability decisions

About You:

• 1-2 years of work experience, including internships; we welcome recent graduates eager to grow in a fast-paced, mission-driven environment
• Some prior experience in a technical support or client-facing role, whether through a full-time role or internship
• Meticulous and analytical, with strong process orientation and the ability to manage multiple priorities simultaneously
• An entrepreneurial problem-solver who doesn't accept the status quo and is always looking for smarter solutions
• A natural communicator who instinctively finds the right tone in every situation
• Fluency in an additional language (German, Spanish, Arabic, French, Italian, Dutch, or Japanese).

What We Offer:

• Becoming part of a company that was awarded for its commitment to social good
• Competitive compensation including equity
• A hybrid work and a lovely office situated in the heart of Berlin, in Mitte
• Weekly team lunch and breakfast
• Urban Sports Club membership
• Company pension scheme (bAV) with a 20% employer contribution
• 30 vacation days a year

There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?

Via is an equal opportunity employer.

We are looking for a Staff Machine Learning Engineer to join the AI PlatformTeam at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

As a Staff Machine Learning Engineer, you’ll:

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns 
• Drive the longer term technical architecture evolution of your domain.  
• Be a role model for technical excellence in your field inside Smartly
• Coach, mentor and train our ML Engineering talent.
• Work with a large span of datasets from image to video to audio to text to structured performance data.
• Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 8+ years of experience developing and deploying production-quality software
• 5+ years of experience delivering software services powered by machine learning
• 4+ years of experience working with cloud infrastructure such as AWS or GCP
• Fluent in Python; experience with C++ or Java is a plus
• Demonstrated experience managing the technical direction of a software system
• Experience in coaching and mentoring senior engineers
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model evaluation, diagnostics, and monitoring
• Strong foundation in linear algebra, statistics, and calculus
• Experience building scalable data pipelines for ML-based data processing
• Experience developing and maintaining services under SLA
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Adaptability and resilience when facing new or ambiguous challenges
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-JF2 #LI-Hybrid 

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for Data Science and the marketing space, this team is for you!

As a Senior Data Scientist, you’ll:

• Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability.
• Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production.
• Work with a large span of datasets from image to video to audio to text to structured performance data. 
• Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes.
• You’ll work alongside our stellar data scientists, senior machine learning engineers, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 5+ years of experience in data science or applied machine learning
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Strong foundation in linear algebra, statistics, and calculus
• Fluent in Python; experience with C++ or Java is a plus
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-OK #LI-Hybrid

We are looking for a Staff Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

As a Staff Machine Learning Engineer, you’ll:

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns 
• Drive the longer term technical architecture evolution of your domain.  
• Be a role model for technical excellence in your field inside Smartly
• Coach, mentor and train our ML Engineering talent.
• Work with a large span of datasets from image to video to audio to text to structured performance data.
• Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 8+ years of experience developing and deploying production-quality software
• 5+ years of experience delivering software services powered by machine learning
• 4+ years of experience working with cloud infrastructure such as AWS or GCP
• Fluent in Python; experience with C++ or Java is a plus
• Demonstrated experience managing the technical direction of a software system
• Experience in coaching and mentoring senior engineers
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model evaluation, diagnostics, and monitoring
• Strong foundation in linear algebra, statistics, and calculus
• Experience building scalable data pipelines for ML-based data processing
• Experience developing and maintaining services under SLA
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Adaptability and resilience when facing new or ambiguous challenges
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-JF2 #LI-Hybrid 

We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

As a Senior Machine Learning Engineer, you’ll:

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns 
• Work with a large span of datasets from image to video to audio to text to structured performance data.
• Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 5+ years of experience developing and deploying production-quality software
• 2+ years of experience delivering software services powered by machine learning
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Fluent in Python; experience with C++ or Java is a plus
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model evaluation, diagnostics, and monitoring
• Strong foundation in linear algebra, statistics, and calculus
• Experience building scalable data pipelines for ML-based data processing
• Experience developing and maintaining services under SLA
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Adaptability and resilience when facing new or ambiguous challenges
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-JF2 #LI-Hybrid 

We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

As a Senior Machine Learning Engineer, you’ll:

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns 
• Work with a large span of datasets from image to video to audio to text to structured performance data.
• Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 5+ years of experience developing and deploying production-quality software
• 2+ years of experience delivering software services powered by machine learning
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Fluent in Python; experience with C++ or Java is a plus
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model evaluation, diagnostics, and monitoring
• Strong foundation in linear algebra, statistics, and calculus
• Experience building scalable data pipelines for ML-based data processing
• Experience developing and maintaining services under SLA
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Adaptability and resilience when facing new or ambiguous challenges
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-JF2 #LI-Hybrid 

The Role

We’re looking for a Senior Software Engineer, Integrations who thrives at the intersection of engineering and impact. You’re a backend expert who doesn’t just write code — you connect systems, unblock teams, and turn complexity into seamless solutions. For you, code is a means to an end: delivering business value, creating elegant integrations, and helping products work smarter together. If you love solving tough challenges, collaborating across functions, and building the glue that makes everything click, this role is for you.

What You Will Do

• Own complex problems end-to-end, from designing and building robust, scalable solutions to ensuring a high standard of quality across our engineering practice.
• Integrate with and maintain a wide range of APIs and external systems, primarily in Ruby. You'll architect solutions that abstract diverse external behaviors and manage the complexities of asynchronous flows, distributed state synchronization, and dynamic data validation.
• Tackle the unique challenge of building a new telco operating system. This involves deep integration with existing telecom networks and a high degree of cross-organizational collaboration to push projects forward and develop innovative products.
• Maintain the reliability of our systems, building for observability and participating in incident response. This includes coordinating advanced retry logic and contributing to support rotations for intricate external system interactions.

What We Are Looking For

• You have experience designing APIs and building backend services. You enjoy thinking about systems, and you care about the quality of the software you produce.
• Strong English communication skills: You can clearly explain complex ideas, collaborate across global teams, and thrive in a company where English is the common language.
• Grit and Technical Ingenuity: You possess the perseverance to design robust solutions for complex, evolving external systems, skillfully navigating dynamic behaviors through systematic debugging and experimentation.
• Strategic Collaborator: You adeptly navigate large organizational structures, collaborating effectively with diverse teams and stakeholders, and understanding the intricate business context behind commercial offerings.
• Eager to Master New Domains: You have a strong desire to learn and quickly grasp new domains, including intricate regulatory flows and industry specifics, to build stable and compliant solutions.

Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As a Product Support & Operations Specialist at Via, you will be at the core of how our partners experience our technology. When local authorities, councils, and operators run into issues with the platform that powers their transit networks, you're who they turn to. You'll resolve problems with speed and precision, build trusted relationships with partners, and act as the bridge between their day-to-day realities and Via's Product and Engineering teams. This is a great opportunity for early-career professionals to build deep technical expertise, gain cross-functional exposure, and make a tangible impact from day one.

About the Role:

• Get up to speed quickly through hands-on training and mentorship, becoming a true expert on Via's platform, tools, and industry context
• Prioritise operational issues and deliver technical, specific, and strategic responses with speed and quality, giving partners the clarity they need to keep their networks running
• Build close relationships with partners, understanding their realities and pain points so you can advise them in ways that consistently improve deployment outcomes
• Work cross-functionally with Product, Engineering, Operations, and Partner Success to tackle challenges that span multiple functions
• Identify product and process improvement opportunities, acting as the bridge between partners and technical teams to shape prioritisation and scalability decisions

About You:

• 1-2 years of work experience, including placements or internships; we welcome recent graduates eager to grow in a fast-paced, mission-driven environment
• Some prior experience in a technical support or client-facing role, whether through a full-time role, placement, or internship
• Meticulous and analytical, with strong process orientation and the ability to manage multiple priorities simultaneously
• An entrepreneurial problem-solver who doesn't accept the status quo and is always looking for smarter solutions
• A natural communicator who instinctively finds the right tone in every situation
• Fluency in an additional language (German, Spanish, Arabic, French, Italian, Dutch, or Japanese) is a plus.

What We Offer:

• Becoming part of a company that was awarded for its commitment to social good
• Competitive compensation including equity 
• A hybrid working model and a spacious office near Chancery Lane, where you can enjoy weekly team lunches
• Comprehensive benefits package, including generous paid parental leave, and health scheme offered through AXA
• Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents
• Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI)

There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

• Digitale Transformation des öffentlichen Sektors
• Neuausrichtung der Organisation innerhalb von Bundes-/ Landesverwaltungen
• Prozessoptimierungen im Bereich Personal-, Haushalts-, Beschaffungs- und Rechnungswesen
• Umsetzungsbegleitung von Modernisierungsprojekten, zum Beispiel zu AI oder Automation
• Unterstützung bei der Erarbeitung von Digitalisierungsstrategien und der Konzeption der Transformationsumsetzung
• Effiziente Verknüpfung der Prozesse zwischen Business, Strategie und IT
• Programm- und Projektmanagement von Vorhaben bei Bundes- und Landesverwaltungen

Dein Profil 

• Erste praktische Projekterfahrung rund um den digitalen Wandel im öffentlichen Sektor
• Einen herausragenden Studienabschluss (Bachelor / Master)
• Grundkenntnisse über Aufbau, Aufgaben, Geschäftsabläufe und Herausforderungen der öffentlichen Verwaltung
• Interesse an der Automatisierung von Geschäftsprozessen oder idealerweise entsprechende erste Projekterfahrungen
• Affinität zu RPA, Workflow, LLP, NLP etc.
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Unternehmensberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Innovative Strategieprojekte und internationale Teams sowie ein erfolgreiches Wachstum in digitalen Zukunftsthemen
• Langjährig gelebte, auf Werte ausgerichtete Unternehmenskultur
• Transparente Karriereperspektiven sowie viel Raum für Eigeninitiative
• Individuelles Training in unserem Ausbildungsprogramm „The Institute“ sowie herausragende Weiterbildungsmöglichkeiten innerhalb eines weltweiten Expertennetzwerks
• Langfristig ausgerichtetes Work-Life-Balance-Modell

Über Capgemini

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 340.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, generative KI, Cloud und Daten sowie profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2024 einen Umsatz von 22,1 Milliarden Euro.

Die ausgeschriebene Vakanz ist ganzjährig zu besetzen.

Wir freuen uns über Ihre vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal unter Angabe Ihrer

Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie Ihrer Standortpräferenz.

Hier finden Sie weitere Informationen zu unserem Bewerbungsprozess 

Wenden Sie sich bei Fragen bitte an mariola.tochowicz-lackmayer@capgemini.com