Your Role

We're hiring a Senior Data Scientist to join our Athlete Performance team in London. You'll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensors, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams.

For this role, we're currently considering candidates who live within a commuting distance of our offices in London or Barcelona. 

As a Senior Data Scientist, you’ll:

• Create and improve algorithms. You'll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data. Your work will help us derive high-value metrics around human movement classification and physical load quantification, turning raw data into actionable insights for our users.
• Deliver insights at scale. You'll build and deploy models that provide contextualized data to sports scientists, coaches and recruiters.
• Collaborate across teams. You'll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards.
• Lead high-impact projects. You'll own initiatives that meet quarterly goals and help shape the future of athlete performance tracking at Hudl.

Must-Haves

• Strong mathematical background. You're highly skilled in statistical operations and physics-based calculations used to analyze large datasets.
• Proven track record. You've built, maintained and monitored complex AI or ML models in a production environment at scale. You have experience with model observability and managing data drift to ensure long-term performance. You're also comfortable with CI/CD for ML (like MLflow or TFX) and know how to write effective unit tests for stochastic processes. You have a background in biomechanical modeling and signal processing.
• Multi-modal time series expertise. You have demonstrable experience working with multi-modal time series data for deep learning-based analysis and forecasting, and can apply these techniques to derive meaningful insights from complex sensor data streams.
• Product-focused. You understand how to translate raw data into actionable insights that solve real problems for coaches and athletes.

Nice-to-Haves

• Wearable and GPS expertise. You have experience working with wearable devices, IMU sensors, GPS tracking and biometric data.
• Subject matter expertise. You have a deep understanding of biomechanics or exercise physiology and know how to apply these domains to create meaningful performance insights for athletes.
• Knowledge of foundational models. You have experience fine-tuning visual or large language models for new domains.
• Real-time systems experience. You're comfortable working with models designed for low-latency environments.
• Advanced degree. A PhD in biometrics, mathematics or a related field is a plus.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

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

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

Responsibilities:

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

You’d be a good fit with:

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

You’d be a great fit with: 

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

Location: Spain 
Travel: 20% travel domestically and globally
Job ID:  1408

Talent Acquisition Operations Specialist (Global)

About the Role

Nebius is scaling rapidly, and Talent Acquisition Operations is at the center of enabling that growth. We’re looking for a Talent Acquisition Operations Specialist to support and strengthen our TA Ops function globally. In this role, you will work closely with Talent Acquisition, HR, and cross-functional partners to help maintain efficient, consistent, and compliant hiring processes. You’ll contribute to improving workflows, supporting systems, and ensuring a smooth experience for candidates and hiring teams.

This is a collaborative, hands-on role suited for someone who enjoys problem-solving, working with systems and data, and continuously improving how things work. The role will be located either from Madrid, Spain.

What You’ll Do

TA Operations & Process Support

• Support the execution of end-to-end TA processes, ensuring consistency while adapting to regional requirements.
• Help identify inefficiencies or gaps in recruiting workflows and contribute to process improvement initiatives.
• Maintain and update TA documentation, including SOPs, playbooks, and process guidelines.
• Partner with HR, Legal, and People Systems teams to support compliant and standardized hiring practices.

Systems, Tools & Technology

• Support the day-to-day administration of TA systems (ATS, background checks, assessments, offer management tools).
• Assist with system updates, enhancements, and implementations, including testing and user support.
• Help document business requirements and user needs for system improvements.
• Ensure data accuracy and proper system usage by following established governance practices.

Stakeholder Collaboration & Change Management

• Collaborate with recruiters, coordinators, and cross-functional teams to support smooth hiring operations.
• Help with the rollout of new processes, tools, and updates through clear communication and training.
• Gather feedback from stakeholders to help improve processes and tools over time.

Data, Reporting & Insights

• Partner with HR Analytics or TA leadership to help generate insights on hiring activity and operational performance.
• Use data to help identify trends and areas for improvement.

Enablement & Support

• Assist in training recruiters and coordinators on TA tools and processes.
• Help troubleshoot system or operational issues and escalate when needed.
• Work closely with TA Ops and coordination team members to ensure consistent support as the function grows.

What You Bring

• 3+ years of experience in Talent Acquisition Operations, TA Coordination, or People Operations, with global exposure preferred.
• Hands-on experience with ATS platforms, especially Greenhouse and related TA technologies (background checks, assessments, offer management, HRIS integrations)
• Strong organizational and problem-solving skills with attention to detail.
• Ability to work in a fast-paced, evolving environment with a collaborative mindset.
• Good communication skills and ability to work effectively with different stakeholders.
• Comfort working with data and reports (basic to intermediate level).
• Interest in improving processes and learning new systems.
• Proactive mindset — you take initiative and follow through on tasks.

Highlights:

Role: Senior ML-Engineer

Location: Spain, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.

We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.

The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.

What You’ll Do

• Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
• Select the most appropriate ML/LLM approaches or propose alternative solutions.
• Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
• Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
• Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Role: Senior ML-Engineer, Finance

Location: Spain, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from France or any country in the Iberian Peninsula (Spain, Portugal, or Andorra).

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills, fluency in French or Spanish preferred
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

The role

We are seeking a highly organized and experienced Warehouse and Logistics Specialist to oversee and optimize logistics, warehouse management and asset-related processes.

This role will involve implementing and refining asset management processes, reviewing logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.

This position is onsite in Madrid, Spain.

Your responsibilities will include: 

• Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
• Implement asset management processes to track the full lifecycle of assets.
• Review and refine logistics/warehousing processes to identify areas for improvement.
• Set up and manage equipment certification processes to meet operational and regulatory requirements.
• Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
• Manage insurance for assets, including claims, renewals and risk mitigation strategies.
• Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
• Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
• Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.

We expect you to have: 

• 3-5 years of experience in logistics or logistics project management.
• Familiarity with logistics management systems, ERP software and asset-tracking tools.
• Strong project management skills with the ability to manage multiple tasks and priorities.
• Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
• Strong attention to detail and organizational skills.

The role

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

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

Your responsibilities will include:

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

We expect you to have:

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

It will be an added bonus if you have:

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

Preferred tooling:

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

The team

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects. You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.

Your role involves leading a team that works directly with cutting-edge technologies, including the advanced GPU cloud cluster. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.

Your responsibilities will include: 

• Manage IT support team to achieve KPI in IT infrastructure support and project planning.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
• Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
• Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
• Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).

We expect you to have: 

• 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
• A solid understanding of data center operations, as well as server and network equipment principles.
• Practical experience in project planning and management.
• Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
• Basic proficiency in the Linux operating system and familiarity with command-line tools.
• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
• Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have: 

• ITIL and/or PMI certification.
• Driving License (Category B)

The role

As an IT Datacenter Technician, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the modern GPU cloud clusters. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations.

Your responsibilities will include: 

• Monitor and support the IT infrastructure as a shift worker (day & night shifts).

• Diagnose and resolve issues related to server and network hardware within the data center.

• Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements.

• Manage and maintain fiber optic and patch cable connectivity.

• Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation.

• Collaborate with internal teams to resolve technical and operational issues.

• Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance.

Requirements:

• Solid understanding of server and networking equipment.

• Practical, hands-on experience with server hardware, network switches, and fiber optic cabling.

• Proven ability to diagnose and resolve hardware-related issues.

• A proactive, responsible, and results-driven work attitude.

It will be an added bonus if you have:

• Valid Category B driving license.

• Basic knowledge of the Linux operating system and familiarity with command-line tools.

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting
• Execute workarounds and solutions for IT hardware issues
• Act as a subject matter expert and point of escalation for L1 and L2 technicians
• Create new processes and documentation for IT hardware team
• Collaborate with related departments to im
• Collaborate with vendors on warranty replacements (RMA), create requests and manage.
• Improve support processes, documentation and training materials

• Knowledge of datacenters, and server equipment
• Deep knowledge of IT hardware and practical experience of troubleshooting
• Skills working with the Unix/linux operating system and command line
• Experience with equipment monitoring, data analysis and presentation
• Proactiveness and sense of responsibility
• High proficiency in spoken and written English

The Role

We are looking for a IT Support Manager in our data center, the key person in managing IT infrastructure maintenance. You will manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters. This role is focused on ensuring stable, efficient, and scalable operations through people leadership, structured support processes, and hands-on technical oversight.

You will own day-to-day IT support operations, oversee maintenance and incident resolution for GPU clusters, and ensure high service levels across hardware, network, and field support activities. You will act as a key escalation point, drive operational improvements, and align support execution with broader data center objectives.

Your responsibilities will include

• Lead and manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters and region IX colocations.

• Ensure high availability and reliability of GPU clusters and IT infrastructure

• Act as the primary escalation point for complex hardware, network, and operational incidents

• Monitor and drive SLA, KPI, and incident resolution performance across IT support services

• Oversee proactive maintenance, troubleshooting, and problem management activities

• Collaborate with infrastructure engineers, vendors, and colocation partners to resolve issues and deliver improvements

• Maintain and improve support processes, documentation, and team training materials

• Manage IT asset lifecycle activities, relates to responsibility area, including RMAs

We Expect You to Have

• 3+ years of experience managing technical support teams in a data center or similar critical infrastructure environment.

• Strong hands-on background in diagnosing and resolving server hardware issues, including GPU-based systems, fiber networks.

• Solid understanding of data center operations, server platforms, and enterprise networking principles.

• Practical experience with IT service management processes (ITIL / ITSM).

• Basic proficiency with Linux/Unix operating systems and command-line tools.

• Proven ability to manage operational KPIs, incidents, and escalations.

• Analytical skills

• Proactive mindset, strong sense of ownership, and the ability to lead teams in high-pressure environments.

• High proficiency in spoken and written English.

It will be an added bonus of you have: 

• Relevant certifications and trainings

The role

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

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

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

We expect you to have:

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

It will be an added bonus if you have:

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

The team

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

The role

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

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

Your responsibilities will include: 

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

We expect you to have: 

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

It will be an added bonus if you have: 

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

The role 

• Hiring, training and leading a team of dynamic, fast-paced Recruiting Coordinators in our EU region
• Load balancing, coordinating, and monitoring workload across teams
• Coordinate cross-organisational projects to drive process improvements
• Identifying opportunities for improving candidate experience and scheduling efficiency
• Partnering with Talent Acquisition leaders to support
• Work closely with a team of Recruiters to schedule interviews
• Work closely with Hiring Managers to ensure a close partnership between Recruiting and various departments
• Own candidate experience; ensuring timely communication throughout the interview process

• You are very detail-oriented and work with a sense of urgency
• You have at least 1 years' experience managing a team
• You have had experience scheduling interviews and/or calendaring
• You are comfortable in a fast-paced environment with multiple tasks and projects at hand
• You are self-directed and able to work without supervision. Should be able to navigate through the org. chart and work with right people to find solutions
• You can discuss specific instances where you needed to be resourceful, focused, a team player, and sole contributor
• You have excellent communication skills
• Greenhouse knowledge (preferable)
• This role requires some flexibility to attend to urgent candidate matters outside of working hours

Customer experience

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

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

The role

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

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

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

Your responsibilities will include: 

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

We expect you to have: 

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

It will be an added bonus if you have: 

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

The role

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

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

You’re welcome to work remotely from Europe.

Your responsibilities will include:

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

We expect you to have:

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

It will be an added bonus if you have:

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

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Background

As the Principal Product Manager for Login, you will own the "front door" for hundreds of millions of users accessing thousands of global products and services. The Login team at Auth0 provides highly secure, customizable, and performant hosted login authentication, enabling billions of successful logins for end-users around the world.

This is a high-impact, high-visibility role. You will be responsible for defining the future of the hosted login experience—defining secure-by-design authentication flows that empower customers to offer the low-friction UX that modern brands demand. You aren't just building a login box; you are building flexible, secure, and seamless access to products and services offered by the worlds biggest and most recognizable brands.

Role overview

We need an experienced, technical product manager to direct the evolution of Universal Login and supporting capabilities to yield measurable business outcomes.

The Principal Product Manager in this role will translate high-level, strategic direction into actionable requirements and user stories. They will work with stakeholders to deliver rapid, incremental customer value aligned with a north star vision for providing world-class authentication methods. They will actively negotiate scope to maintain momentum, balance technical innovation with customer requests, and ensure exceptional standards of quality.

The Principal Product Manager will not merely execute a roadmap, but will architect long-term plans and define a vision for the future of Login. This is a leadership role, requiring effective collaboration with product, engineering, design, executive leadership, and customers. The product manager will partner with marketing, documentation, design, and other teams to bring new capabilities to market. More details in the candidate shape / job description.

Must Have

• Developer awareness/experience - Our primary personas are developers. The PM must understand developer needs first-hand; especially as many capabilities are exposed via Actions (experience with Node.js is a huge plus).

• Familiarity with Identity, Login and Multi-Factor Authentication patterns, products, and concepts

• Leadership qualities - A PM is a leadership role and and the PM is expected to exhibit initiative, discretion, calm amidst stress, and be able to represent their work up and across the organization

• Strong desire to learn - Auth0 is a large, complex product and the PM has to invest the time to learn how MFA/authentication methods work across the product; both from a customer perspective and in terms of dependencies/interactivity

Nice To Have:

• Experience implementing CIC/Auth0

• Previous employment in identity, security, or adjacent companies
  
  
  
  

#LI-Hybrid

P-3290

Position Overview

We are seeking an Embedded Software Engineer to develop and maintain the company’s embedded software solutions, working with microcontrollers, RTOS environments, and data-driven tools to support testing, validation, and production systems.

Key Responsibilities:

• Develop and maintain software for the company’s devices.
• Program ARM microcontrollers in C/C++ within RTOS environments.
• Develop testing tools and test benches using Python.
• Process and analyze test data and results for evaluation and validation.
• Develop reporting systems, real-time visualizations, and dashboards.
• Integrate software with production management tools and systems.
• Implement and manage communication protocols including RF, Ethernet, USB, SPI, I2C, and UART.
• Participate in code reviews and ensure software quality.
• Manage technical documentation and version control using Git/GitLab, including submodules and collaborative workflows.
• Contribute to continuous improvement of team processes and methodologies.

Qualifications

Education:

Bachelor’s degree in Electronic Engineering, Computer Engineering, Telecommunications, or a related field.

Experience:

• Experience in embedded software development for microcontrollers and RTOS environments.
• Experience programming in C/C++.
• Experience developing tools and scripts in Python.
• Experience in data processing and analysis.
• Experience developing visualization, reporting, or dashboard tools.
• Experience with Git/GitLab and collaborative development workflows.

Preferred Qualifications:

• Knowledge of FPGA development and related technologies.
• Experience or interest in Artificial Intelligence and Machine Learning, particularly for data analysis, anomaly detection, and models based on PyTorch or TensorFlow.

Soft Skills:

• Proactive, autonomous, and results-oriented mindset.
• Strong analytical and problem-solving skills.
• Good communication skills and ability to work effectively in a team.
• Fluent level of English.

Technology Stack:

• C/C++
• Python
• ARM microcontrollers
• RTOS environments
• Git / GitLab
• Communication protocols: RF, Ethernet, USB, SPI, I2C, UART

Physical Requirements

Ability to work in a standard office environment and use a computer for extended periods.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

As a Senior Windows Identity Detection Engineer you will research and detect emerging identity threats by developing behavior-based detection methods. You’ll build tools and PoCs to identify and prevent attacks such as Pass-the-Hash, Silver Ticket, and MFA bypass. Your work will directly strengthen the security of millions of Windows endpoints protected by the platform. In this role, you’ll have a unique opportunity to expand your skillset beyond just Windows security, and to not only contribute, but to significantly influence the buildout of a new side of our business - Identity security - from the ground up!

What will you do?

Primary responsibilities include: 

• You’ll be responsible for detecting the newest identity threats. Your role won’t end with a hypothesis or a document - you’ll have an end to end responsibility for behaviour based detection capabilities, starting from researching attack techniques, designing new methods to detect or prevent those, and implementing it in the product in the end (SW development in C++23 and scripting in Lua).
• You’ll be developing and using internal research tools, PoCs and discovering new ways to detect/prevent identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more). 
• At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.

What experience or knowledge should you bring?

Ideal candidates will have: 

• 3+ years of experience in malware analysis (statically and dynamically)
• 3+ years of experience with C++, an advantage would be knowledge of Lua or similar scripting language 
• Excellent understanding of the Windows Internals  - understanding how core system components (Process and Threads, Virtual Memory and more) work behind the scenes.
• Experienced with analysis tools, such as: IDA, WinDBG, SysInternals etc.
• A big plus - experience with Identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more)
• An advantage would be - kernel development experience and/or understanding of existing AVs internals

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours, this is a 100% remote role based within Spain; we provide optional membership in major coworking chains
  • Currently for this role in Spain we are able to consider only candidates that are already eligible to work in the EU at the time of applying
  • Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
    
• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• 30 Days of Paid Annual Leave
• Flexible Paid Sick Days
• Pension insurance contribution
• Premium Life Insurance covered by S1
• Premium Medical & Dental Insurance covered by S1
• Meal, Transport & Homeoffice allowance of total 440 EUR/month
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional country-specific benefits to Spain

We are seeking a skilled Middle Web Project Manager to oversee a complex website and its network of mini-websites while coordinating delivery across multiple departments. This role requires someone who can handle complex multi-site projects, manage competing departmental priorities, and navigate challenging situations while ensuring timely delivery. The ideal candidate will demonstrate strong coordination skills, adaptability under pressure, and the ability to maintain stakeholder alignment across diverse organizational functions.

Key Responsibilities

• Manage multi-site project initiatives including content updates, feature releases, technical improvements, and integration projects
• Facilitate collaboration between Development, HR, Design, and Marketing departments on website-related projects
• Balance competing departmental requests and resource needs while keeping projects on track
• Respond effectively to project challenges, including technical issues, scope changes, and resource constraints
• Manage stakeholder expectations during difficult situations while maintaining project momentum
• Adapt project approaches when facing unexpected challenges or changing requirements
• Track project progress and identify potential risks before they impact delivery schedules
• Ensure quality standards are maintained across all website projects and deliverables
• Continuously identify and implement improvements to development and delivery processes to enhance team efficiency, and improve overall project outcomes
• Communicate with stakeholders throughout project lifecycle, gathering requirements and managing expectations
• Present project proposals and updates to various departmental leads
• Support change management efforts during website transitions and system updates
• Collect and analyze data to support website optimization decisions
• Maintain awareness of web industry trends and best practices

Qualifications

• 3+ years of proven web project management experience with demonstrated success in website or digital projects
• Experience in Business Analysis or a PM role with strong BA involvement, including requirements gathering, process analysis and translating business needs into development tasks
• Strong analytical and research skills for identifying optimization opportunities
• Excellent organizational and planning abilities for managing complex multi-site projects
• Proven experience in cross-functional team coordination and stakeholder management
• Website project management experience including content, technical, and design aspects
• Excellent communication and interpersonal skills for multi-departmental coordination
• Ability to work independently and collaboratively depending on project needs
• Flexibility to adapt to changing project requirements and tight deadlines
• Solution-oriented mindset with data-driven decision-making approach
• Website analytics and optimization tools experience
• Content management system familiarity
• Practical experience with JIRA, Confluence, and Figma
• Fluency in English (written and verbal)

What We Offer

• Opportunity to shape the backbone systems of a modern, data-driven digital company.
• Autonomy to lead meaningful projects from ideation to impact.
• A collaborative, innovation-first environment that values initiative and experimentation.
• Reduced working hours on Fridays during the summer.
• Schedule: Monday–Friday, 1 PM – 9 PM EET.

Why Join Us

You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Emerging Products Design Team

Emerging Products is an org pillar inside Auth0. We figure out what's next. You'll be designing systems that help developers secure AI agents, manage granular permissions, and build on identity primitives that don't fully exist yet.

Engineers, PMs, and Designers work on the same problems at the same time. There is no design-then-build sequence. There's just build.

What you’ll be doing

When everyone on the team can generate UI, the designer's role shifts. You become the person responsible for taste, quality, experience, and customer voice. You hold the quality bar when speed is pushing everything toward "fine."

• Prototype at volume: Use AI tools and code to explore dozens of directions fast, then narrow based on what works and what solves the actual problem.

• Design in the codebase: Work within our React and Next.js environment to refine components and interactions where users will actually experience them.

• Simplify complexity: Turn authorization models, SDK patterns, and security flows into interfaces that feel clear without losing precision.

• Raise the craft: Help the broader design org see what this way of working looks like in practice. We're all figuring this out together.

What you’ll bring to the role

• You have craft: This matters most. Considered typography, intentional spacing, polished micro-interactions, details that show someone genuinely cared. We're looking for someone with a refined sense of design taste/aesthetics and a deep appreciation for the details that create a polished user experience.

• You build: 6+ years of design experience, but somewhere along the way you started prototyping in the browser, shipping side projects, or writing production code because you wanted the interaction exactly right.

• You have a real AI practice: Not experimentation, but an actual workflow. You have opinions about where AI tools help and where they fall short.

• You design for developers: Tools, APIs, CLIs, SDKs, and admin dashboards. You know "simple" means something different for this audience.

Note for when applying

In your application, please include a link to your portfolio with password (if protected). We prioritize a review of your design craft and any examples of your work in code.

#LI-AR

#LI-hybrid

P24609_3424944

Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

What you’ll do:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

#LI-Remote

P17684_3303790

Position Description: 

The Iberia Solutions Engineering team are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology. 

We believe in Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity Platform. This position is based in Madrid. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Desired Skills:

• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A good understanding of Identity & Access Management (IAM): SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Native Spanish speaker is a must
• Professional English proficiency (Spoken and written) is a must

#LI-JB2

#LI-HYBRID

P13995_3347092

The Team

Technical Account Management (TAM) is a global team that owns Auth0 customer success within Okta’s broader Customer Success team. We collaborate with Auth0’s customers to share knowledge, and best practices and make recommendations to continuously innovate around identity and security. As our customer’s strategic identity coaches, we are Auth0 product experts, and we enable Auth0's worldwide growth by educating existing customers and ensuring they are happy and successful. We share our technical and product expertise with customers through presentations, demonstrations, technical evaluations, and ongoing recommendations on Auth0 and industry best practices. 

The Opportunity

A TAM specializing in enterprise identity, including the Auth0 product and adjacent technologies. The TAM will provide Okta’s customers with strategic technical guidance over the comprehensive suite of products and features available at Okta. They are held in high regard as a technical expert for how Okta’s solutions translate to business value. They are also held in high regard for their ability to understand the code that makes up identity authentication pipelines, Auth0, after all, is developer-friendly.

The TAM specialization calls for an understanding of hybrid scenarios that capitalize on Auth0’s ability to manage authentication, authorization, and lifecycle management capabilities for consumer SaaS, business-to-consumer (B2C), and general CIAM applications. The opportunity is that as an Auth0 TAM you will get to guide some of the world's largest companies in their strategic identity journey at the same time as being an Auth0 champion!

What you’ll be doing 

• Fully own the account management function as an Auth0 TAM. This includes the business and the technical side
• Advise customers on best practices and product adoption in a post-sales capacity
• Be comfortable with a number of personas including but not limited to CISO, Product Owner, CMO, developers, etc., with an account portfolio of strategic  accounts
• Have a deep interest in the security space and where the industry is headed particularly from a CIAM perspective.
• Earn customer trust by understanding their goals and use cases, and recommend best practices relating to process changes, product adoption, configuration, and additional features to meet requirements
• Maintain focus on increasing subscription adoption, customer satisfaction, and retention
• Review customer architectures and Auth0 configurations to ensure they are enhancing security posture and capturing ROI as Auth0 releases new features and functionality
• Establish strong personal relationships on key accounts with decision-makers and stakeholders
• Establish strong relationships internally, too as part of a larger collaborative team

• Participate in content creation for both internal and external enablement of staff and customers

What you’ll bring to the role

• 7+ years of total experience in information technology, with at least 3 years of hands-on experience as a Technical Account Manager (TAM) or comparable practitioner role in the IAM space
• Working proficiency in the following core IAM areas: 
• Technologies and protocols to support identity federation and robust access control models, including concepts such as SAML 2.0, WS-Federation, OAuth, OpenID Connect, etc.
• Legacy applications in a hybrid IT environment with non-standard applications (i.e. those that do not support modern identity federation protocols)
• Enterprise applications in the ecosystem to provide identity and attributes to applications or to harness an external application to help drive business processes (ITSM, HR, etc)
• Consumer and/or SaaS application deployments 
• Security and performance monitoring, and 3rd party signals integrations (SEIM, MDM, WAF, etc)
• Familiarity with IAM solution providers is strongly desired.
• Strong background in any of the following: Technical Account Management, Technical Consulting, Product Management, Solution Architect, or a similar role
• Understanding of common software development practices, including concepts such as SDLC, CI/CD, Containerization, etc. 
• Ability to code in Javascript
• Understanding of identity and surrounding technologies, including concepts such as encryption, PKI, RSA, etc.
• Strong business acumen, history of success owning enterprise segment customer relationships and escalations
• Excellent communication skills. Ability to set expectations and communicate goals and objectives with customers at various levels, from a developer to a CISO
• Ability to track and influence customer behavior and health metrics across a portfolio of accounts
• This position will be located in London or Barcelona and will have some travel required (under 50% of the time)
• BA/BS/MS or related discipline or equivalent work experience required

#LI-RB4

#LI-HYRBID

Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a mid-level Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

What you’ll do:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a strong preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

#LI-Remote

P14337_3272114

Scopely is looking for a Lead Technical Product Manager to join our LiveOps Automation team in Spain on a remote basis.                    

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people worldwide daily.                  

The LiveOps Automation team builds a suite of ML powered tools to enhance player experiences across Scopely’s Live Games Portfolio. This initiative has a long term impact on how games are operated, how game economies are balanced, and the experience of millions of daily active players.

What You Will Do

You’ll be joining the LiveOps Automation team at Scopely, where we are shaping the next generation of game operations tools that utilize Machine Learning and AI to empower scalability, personalization, and efficiency through data-driven systems. Our mission is to unlock smarter, faster, and more impactful ways for game teams to manage LiveOps strategies. The Lead Product Manager will support the utilization of our team's tools to define and coordinate impactful and meaningful LiveOps strategies into games, drive tool product strategy, and be a strong mentor for other PMs on the team.

• Drive the vision, strategy, and roadmap for scalable LiveOps strategies used across multiple games and teams
• Partner cross-functionally with game teams, central tech, data science, and operations to define high-leverage product opportunities
• Define and monitor product KPIs across games to continuously improve strategy effectiveness, operational efficiency, and tool adoption.
• Make the best product and design decisions through data, user behavior, and industry best practices   
• Own major feature release from conceptualization to feature launch and long-term feature maintenance, collaborating with all related subject matter experts   
• Create compelling proposals for new Liveops strategies, tool features, and capabilities for game and tech teams to utilize
• Address risks and leverage opportunities in newly released features and existing features
• Be a leader and mentor for other PMs on the team and the team

What We're Looking For

• 8+ years in product, with a focus on transformative experiences and making data-informed decisions
• Has driven and delivered impactful LiveOps strategies and products from 0 to 1
• Experience working on large-scale products in highly KPI driven environments
• Demonstrated ability to define long-term product strategy and deliver tangible business outcomes
• Effective collaborators & multipliers to leverage and engage the team to bring the best work and product outcomes  
• Strong leadership and influence skills; capable of aligning diverse stakeholders around a common vision and been an exemplary leader/menor to others
• Experience working with Machine Learning products
• Excellent ability to create clear and thought-through PRDs. Proficient in problem identification and root cause analysis
• Default to challenge the status quo and push the boundary of best-known methods
• Self-motivated, entrepreneurial, and resourceful   
• Profound knowledge of development cycles and roadmaping   
• You love games!

Bonus Points

• Experience developing AI products
• Background in data-rich environments with an emphasis on experimentation and optimization frameworks

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Scopely is looking for a Senior Product Manager to join our LiveOps Automation team in Spain on a remote basis.                    

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people worldwide daily.                  

The LiveOps Automation team builds a suite of ML powered tools to enhance player experiences across Scopely’s Live Games Portfolio. This initiative has a long term impact on how games are operated, how game economies are balanced, and the experience of millions of daily active players.

What You Will Do

You’ll be joining the LiveOps Automation team at Scopely, where we are shaping the next generation of game operations tools that utilize Machine Learning and AI to empower scalability, personalization, and efficiency through data-driven systems. Our mission is to unlock smarter, faster, and more impactful ways for game teams to manage LiveOps strategies. The Lead Product Manager will support the utilization of our team's tools to define and coordinate impactful and meaningful LiveOps strategies into games, drive tool product strategy, and be a strong mentor for other PMs on the team.

• Drive the vision, strategy, and roadmap for scalable LiveOps strategies used across multiple games and teams
• Partner cross-functionally with game teams, central tech, data science, and operations to define high-leverage product opportunities
• Define and monitor product KPIs across games to continuously improve strategy effectiveness, operational efficiency, and tool adoption.
• Make the best product and design decisions through data, user behavior, and industry best practices   
• Own major feature release from conceptualization to feature launch and long-term feature maintenance, collaborating with all related subject matter experts   
• Create compelling proposals for new Liveops strategies, tool features, and capabilities for game and tech teams to utilize
• Address risks and leverage opportunities in newly released features and existing features
• Be a leader and mentor for other PMs on the team and the team

What We're Looking For

• 5+ years in product, with a focus on transformative experiences and making data-informed decisions
• Has driven and delivered impactful LiveOps strategies into games
• Experience working on large-scale products in highly KPI driven environments
• Demonstrated ability to define long-term product strategy and deliver tangible business outcomes
• Effective collaborators & multipliers to leverage and engage the team to bring the best work and product outcomes  
• Strong leadership and influence skills; capable of aligning diverse stakeholders around a common vision
• Experience working with Machine Learning products
• Excellent ability to create clear and thought-through PRDs. Proficient in problem identification and root cause analysis
• Default to challenge the status quo and push the boundary of best-known methods
• Driven and motivated
• You love games!

Bonus Points

• Experience developing AI products
• Background in data-rich environments with an emphasis on experimentation and optimization frameworks

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

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

The C++ Ecosystem team builds C++ support across CLion and IntelliJ IDEA. As AI drives a new era in software development, we’re working hard to ensure that our products integrate AI capabilities effectively and stay at the forefront of the AI-powered software development tooling industry.

We are seeking an experienced C++ Development Lead to drive the team’s efforts in delivering AI-enhanced products and building new AI-powered solutions.

In this role, you will:

• Join an engineering team with diverse levels of experience and expertise – with a focus on integrating AI into our existing products and working on new AI-powered offerings.
• Collaborate effectively with product managers, ML and QA engineers, stakeholders, and senior developers to shape and deliver the roadmap.
• Contribute to the product roadmap and participate in the feature design process.
• Constantly refine team processes and culture to ensure smooth delivery and agility.
• Act as a coach rather than a manager who’s detached from hands-on work – spending some time personally designing and working on technical tasks and software architecture.
• Rapidly assimilate extensive technical information and dive deep into mature codebases.
• Coach your team members on their technical and soft skills and provide them with feedback to help them improve every day.

We would be delighted to have you on our team if you have:

• Substantial previous experience with Kotlin and/or Java
• Bleeding-edge knowledge and interest in the current landscape of AI technologies used in software development tooling. You read the latest news, constantly try new tools, and know how agents work under the hood.
• A proven record of joining mature teams and making a major impact as an individual contributor.
• A proven track record of proposing and implementing radical solutions that move the needle on complex technical issues without sacrificing existing quality.
• The ability to communicate effectively with a diverse set of colleagues, including both managers and peers.
• A clear understanding of product management and its role in the development life cycle as a whole.

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

We believe in the power of our product. We continue to execute and build momentum as we develop our customer base with the world's top banks; we work with four of the five largest banks in the US, acquirers, processors, and merchants. In our fast-paced and open environment, you will be working with a collaborative team spanning across the globe and delivering exceptional results. We are committed to building something extraordinary. Join Us!

You: 

As a Senior Solutions Consultant at Feedzai, you will play an integral role in the sale of our leading RiskOps platform to high-profile Financial Institutions. You will partner with Feedzai’s sales team to understand clients, prospects and partners’ business, functional and technical needs and demonstrate how those can be achieved through the capabilities of our platform. You not only support effective qualification, but also own the technical dimension that addresses the business needs - you will successfully employ a combination of communication and soft skills, compelling storytelling, solution design and collaboration with a strong solutions design mindset to act as the trusted advisor with the clients. As needed you’ll also be a bridge to our product and development teams, distilling sales engagement feedback for them to help guide our roadmap. Finally you’ll have the organizational skills to do all this, and be able to lead multiple RFP proposals.

Your Day to Day: 

• Provide product demonstrations and lead technical sales discussions both remote and onsite across Europe. 
• Assist the sales team in leading tailored value driven pitches (market to technology), strongly focused in financial crime.
• Understand client business needs and offer solution designs to address those needs, in a continuous education mode and problem-solving mindset.
• Manage (orchestrate, complete, review, submit) formal Tenders (ie, RFPs, RFIs).
• Build formal proposals and own its life cycle throughout the sales process to ensure crisp translation of business needs into technical requirements.
• Engage with multiple stakeholders, from Product to Delivery, to ensure not only the right staffing for client engagements is in place but also to ensure market insights are shared across teams

You Have, You Know-how, You are: 

• BS or Masters in Computer Science or equivalent - proven experience in Enterprise Software sales and strong technical acumen.
• 5+ years of professional experience as Solution Consultant in complex environments, supporting teams to land and expand client’s portfolio.
• Proven experience in the Financial Services industry - Financial Crime
• Relevant commercial / sales experience, with a track record working as a Solution Consultant / Pre-sales Engineer, supporting quota carriers in selling enterprise-level software in complex and mission-critical environments.
• Experience at a growth-stage Enterprise software SaaS company.
• Ability to understand and determine an enterprise's client’s needs and how Feedzai’s products might best fit through a consultative approach.
• Strong business acumen with executive presence, strong presentation skills and excellent listening skills
• Must be organized and a self-starter, able to deliver high-quality work without a tactical oversight in a fast-paced environment.
• Highly driven, organized, ambitious and tenacious. A natural problem solver with a strong student mentality, work ethic and positive mental attitude.
• Willingness to travel up to 30% - this is a remote role, with travel as required.

#LI-Remote #LI-JP1

Title: Engineering Manager (job title on contract will be Manager, Engineering) 

Location: Spain; Barcelona (Hybrid work model)

Experience: Senior 

Job Function: Engineering

Employment Type: Full-Time

Industry: Computer & Network Security

Job Summary

Leads a team of engineers, managing day-to-day activities and project goals. Drives technical excellence, supports team development, and ensures successful execution of engineering tasks.

Job Responsibilities

• Build, lead, and support a high-performing team of engineers.
• Encourage a culture of ownership, experimentation, and learning within the team.
• Provide coaching, mentorship, and feedback to help engineers grow in their roles.
• Ensure that engineering work aligns with technical and business requirements.
• Collaborate with product managers and other teams to drive product development.
• Implement and maintain engineering processes and best practices.
• Drive improvements in engineering effectiveness and quality.

Minimum Qualifications, Education, and Skills

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• Significant experience in software engineering, with at least 2 years in a leadership role.
• Excellent managerial and organizational skills.
• Proficiency in team management, process improvement, and effective communication.
• Knowledge of software development life cycle and agile methodologies.
• Experience leading teams developing for Windows, Linux and macOS platforms.
• Familiarity with the team´s technical stack, including: C#, C/C++, Powershell, Angular, Swift.
• Understanding of Cloud, infrastructure, and DevOps environments such as: Azure, SQL Server, GitLan/GitHub, Jenkins and GitLab CI.
• Knowledge of distributed systems, API-centric architecture, test automation, and secure development practices. 
• Experience working with digital certificates is a plus. #LI-NA1

At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

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

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

What You’ll Do:

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

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

As a Data Analyst, you are expected to be a technical reference regarding data analysis and DataOps practices within the specialty—resolving questions, sharing knowledge, driving process improvements, and staying aligned with industry trends.
If you are a person with a disability and have doubts about whether you can apply, please know that all our job openings are also open to people with disabilities. We look forward to receiving your application!

Responsabilities

As a Data Analyst, your responsibilities will include:

• Creating, making available, evolving, and maintaining data products based on our clients’ business needs; designing, creating, and improving dashboards and custom scripts for advanced data analysis and business KPI monitoring.

• Contributing to discussions on data storage and data pipelines to support advanced analytical reporting, as well as data analysis and exploration, using various data and visualization technologies.

• Working closely with analytics engineers and data product managers to identify process improvements and align these changes with team practices.

• Collaborating with stakeholders by providing guidance, data, and analytical support for the development of new analyses and tools that support strategic initiatives.

• Suggesting/Collaborating/Developing and facilitating initiatives with the data governance team to ensure data integrity across distributed systems.

• Encouraging and promoting DataOps practices in the development of data products.

• Suggesting/Collaborating/Driving experiments, innovations, and the resolution of complex problems.

• Suggesting/Collaborating/Promoting an analytical and data-driven decision-making culture at Blip through training sessions, workshops, and knowledge transfer related to data analysis products.

• Suggesting/Collaborating/Promoting and disseminating good data governance and data quality practices.

• Sharing knowledge and supporting the outputs produced by the team.

Requirements

What we expect from you:

• Advanced expertise in database concepts/data modeling, strong SQL skills, and proficiency in query performance optimization.

• Proficiency in exploratory data analysis.

• Proficiency in developing Power BI Desktop and Service solutions, focusing on optimization and organization of resources for large-scale use.

• Knowledge of Python and Spark for large-scale data processing.

• Knowledge of GIT technology.

• Proficiency in data visualization and storytelling.

• Experience in statistical modeling.

• Experience with data testing practices.

• Ability to work effectively in a team environment and build partnerships with both technical and business team members.

• Ability to translate technical language for non-technical audiences.

• Strong collaboration, curiosity, communication, leadership, and organizational skills.

It will be a plus if you have:

• Experience using cloud data platforms (Azure, Google Cloud, etc.).

• Experience using DataBricks.

• Knowledge of Machine Learning.

• Previous experience in the conversational industry.

• Client-facing experience.

Meet Urban Sports Club

We are among the leading platforms for sports and wellness in Europe, dedicated to inspiring people to live active, healthy lives. With just one membership we offer access to thousands of fitness and wellness experiences across the continent.

But what truly sets us apart? We believe our people are at the heart of everything we do. If you’re curious about how we work, what we value and how you might grow with us, explore our Culture Hub & Career Opportunities.

*Big news: Wellhub and Urban Sports Club unite!*
Urban Sports Club is now a proud part of Wellhub, creating a global wellbeing ecosystem. Together, we connect 39,000 corporate clients and 97,000 wellness partners across 18 countries, offering millions of people even more ways to stay active and take care of their health.

The opportunity 

Urban Sports Club is building a security function that moves with heart and mind. As a Security Engineer you will work across the full security landscape – from application security to cloud runtime to development pipelines and of course AI – bringing genuine breadth alongside real depth in your domain specialisations. 

You will work side-by-side with IT analysts, developers, product managers, and leadership alike to embed security into how we build and operate. You will report to the Director of Cyber Security, with the empowerment and autonomy to shape how security is done across the company.

This role suits those with a builder’s mindset who gets restless without a hard problem to solve, who is excited about the intersection of AI and security, and who communicates as comfortably in a board update as in a pull request review.

What you will do

• You partner with engineering, product, and infrastructure teams to identify and mitigate security risks across our cloud, application, and AI/ML environments
• You lead security initiatives in your specialist area – whether that is AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security – while staying curious and contributing across different domains
• You design, build, and operate security controls, automation, and tooling that scale with a fast-growing platform
• You drive threat modelling, secure design reviews, and risk assessments for new features, services, and infrastructure changes
• You detect, respond to, and investigate security incidents; own root cause analysis and drive post-incident improvements
• You translate complex security topics into clear, actionable language for technical and non-technical audiences, including C-level leadership
• You track the evolving threat landscape, with particular attention to AI/ML attack surfaces and AI-assisted security tooling, bringing those insights back into the business

What you will need to succeed

• You bring 5+ years of hands-on security engineering (or equivalent) in fast-paced, high-growth environments
• You have a deep expertise in at least one domain: AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security
• You bring a strong builder mindset: able to script, automate, write detections, and review architectures/designs
• You understand modern threats (e.g., AI/ML risks, software supply chain, API and cloud security)
• You are are an excellent communicator across technical and executive audiences (e.g., engineers to CISO level)
• You are able to work autonomously, set direction, and thrive in ambiguous, collaborative environments
• Nice to have: Experience with platform/marketplace products, Kubernetes security in AWS/GCP, EU regulations (GDPR, NIS2, DORA), and scripting (Python, Go)

What’s in it for you 

• Free Urban Sports Club L Pro Membership + Friends and Family Discount: Stay active with free membership, plus discounts for friends and family.
• Flexible Work Model: Enjoy a hybrid work setup, balancing on-site and remote work options to fit your lifestyle.
• Extended Remote Work Options: Work up to 120 days remotely within the EU, the UK, and Switzerland, including 30 days outside the EU. You’ll also have the option to desk-swap at our other European offices.
• WorkOUT Life Balance: Take advantage of 30 days of paid vacation annually, plus two additional days for volunteering, flexible working hours, and complimentary access to our mental health provider Open Up.
• Personal Development: Receive an annual budget of €1,000 for professional growth, with regular internal training sessions and weekly German and English language classes.
• Engaging Team Culture: Participate in regular team and company events along with wellness initiatives that help you stay productive, healthy, and engaged in a hybrid work environment.

Urban Sports Club is committed to providing a friendly, safe, and welcoming environment for everyone who applies for a position or already works with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).

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

AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.

As part of our team, you will:

• Perform functional, exploratory, and regression testing.
• Design test cases and write specifications.
• Reproduce bugs and verify fixes.
• Communicate with the team, as well as internal and external users.
• Participate in feature discussions and planning.
• Have the opportunity to get hands-on experience working with data, performing online experiments, and measuring the impact of features on end users.

Requirements:

• Experience in testing without functional specifications.
• Knowledge of testing methodologies.
• Understanding of programming concepts sufficient for writing simple applications.
• Experience with Java or Kotlin.
• Commitment to working as a team, sharing your knowledge, and being open to other points of view.

You’ll be great for our team if you:

• Have an interest in machine learning.
• Have experience working with data and know how to make data-informed decisions.

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI 

Who we are

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.

As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

About the role : 

At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what’s possible with data.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What you will get to do

• Build and maintain robust data pipelines processing large volumes of data
• Analysis of large data sets using tools such as Python & SQL
• Update and optimize our data platform for speed, scalability and cost
• Coordinate with different functional teams to understand and meet their data needs
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Solve general data-related problems
• Setting up new pipelines for the full stream/enrichment/curation process
• Upkeep of source code locations
• Investigating and utilising ML & AI to improve the cloud offering
• Development of junior staff members 

To succeed in this role, you should have

• Proven experience as a Data Engineer (5-7+ years, can be made up for with accomplishments)
• Strong Leadership experience 
• Strong problem solving skills
• Advanced proficiency with SQL
• Proficiency with Python
• Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
• Experience using version control tools such as git
• Excellent written and verbal communication skills
• A drive to learn and master new technologies and techniques
• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

• Data governance
• Building and deploying machine learning models
• Terraform or other infrastructure as code tools

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A take-home assessment 
• A technical interview with a Lead in our Engineering Team
• A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

About the Role

Anthropic is looking for a Community Lead to drive the strategy and execution of our developer and builder community programs across EMEA. This is an early and high-impact role: you’ll be the regional owner for adapting centrally developed playbooks and programs to local markets, executing community activations on the ground, and identifying net-new opportunities that support a B2C2B growth motion across Europe.

You’ll work in close partnership with the central Community team in the US, which leads overall program operations, playbook development, and strategic direction. Your focus will be on market-specific execution, customization, and expansion — collaborating with EMEA sales, marketing, and product leads to develop the market entry and expansion strategy for community programs, and identifying which programs to deploy where and when based on regional priorities. Beyond adapting existing programs, you’ll be expected to identify and champion net-new opportunities — whether that’s a format, partnership, or activation that meets a specific need or gap in a local market that centrally developed playbooks don’t yet address.

The core of this role is scaling a community flywheel — recruiting and supporting local ambassadors, running recurring events, and converting community engagement into measurable business impact. You’ll take what’s been built centrally and make it work across priority EMEA markets, going deeper and moving faster than a remote-first approach allows.

Responsibilities:

• Own the end-to-end strategy and execution of Anthropic's developer and builder community programs in EMEA, including the Claude Community Ambassador Program and local Claude Community Events
• Collaborate with EMEA sales, marketing, and GTM leads to develop the regional community strategy: identifying which programs to deploy in which markets, when to launch, and how to align community activations with market entry and expansion priorities.
• Identify, recruit, and support community ambassadors across priority EMEA cities — providing sponsorship, content, and operational support to enable them to host high-quality local events at scale
• Develop and maintain a regional coverage map: for each priority market, define where ambassadors are needed, where events should run, and how to measure reach and engagement
• Identify and champion net-new community opportunities that address specific needs or gaps in EMEA markets — whether that’s a new event format, a local partnership, or an activation that doesn’t yet exist in the global playbook — and build the case internally to resource and scale them
• Partner closely with EMEA sales teams to create a community-driven pipeline — translating ambassador and event activations into qualified leads and sales opportunities
• Build and track the metrics that matter: event coverage, ambassador retention, community growth, and — critically — the downstream impact on pipeline and conversion
• Represent Anthropic in the EMEA developer and builder community, including speaking at conferences, contributing to online developer and builder communities, and building relationships with key technical influencers and builders in the region
• Collaborate cross-functionally with marketing, product, and communications teams to ensure community activations are aligned with broader brand and go-to-market strategy

You may be a good fit if you:

• 8+ years of experience in developer relations, community management, or a closely related growth or marketing role, with a track record of scaling programs across multiple markets
• Understand how to build and run developer or builder communities — from online engagement to in-person events — and can translate that experience into repeatable, scalable programs
• Have a track record of identifying unmet needs in a market and building new programs or initiatives from scratch to address them — not just executing existing playbooks
• Have strong experience working in or across EMEA markets and understand the nuances of localizing a global strategy for different regions
• Have experience working across time zones with a US-based or globally distributed team, and are comfortable with the communication rhythms and async workflows that requires
• Are comfortable working at the intersection of community and commerce — you understand how community programs can generate business impact, and you can build the attribution frameworks to show it
• Have enough technical depth to engage credibly with developers and builders (e.g., familiarity with APIs, LLMs, or software development workflows), even if you don't write production code day-to-day
• Are a strong communicator who can write clearly, speak at conferences, and build trust with both internal stakeholders and external communities
• Thrive in ambiguous, fast-moving environments and are comfortable being an early hire in a region with significant room to shape the approach
• Speak English fluently and are proficient in at least one other European language (German or French preferred; open to Italian or Spanish)

Strong candidates may also:

• Have experience with developer advocacy, technical content creation, or conference speaking
• Have a background in go-to-market strategy or market expansion at a high-growth technology company
• Speak multiple European languages fluently (German or French preferred; open to Italian or Spanish)
• Have experience building and leading regional teams
• Have worked on ambassador or community leader programs and understand how to recruit, retain, and scale them
• Be familiar with the AI/ML landscape and excited about the opportunity to bring frontier AI capabilities to developers in new markets

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

Why job seekers choose Geotab:

We are looking for someone to join our Data department as a Data Engineer, helping us manage the integration and consolidation processes of our clients' data. In both on-premise and cloud environments, you will be responsible for designing the required information system architecture and managing and maintaining our clients' databases.

We’re looking for a proactive and analytical person who can adapt to a multidisciplinary team and is eager to help us tackle the many challenges our clients face.

What are we looking for?

Education:

• University degree in Computer Science, Software Engineering, or related fields with a technological specialization in data analysis and engineering.
• Plus: Master's or postgraduate degree in Big Data, Machine Learning, Cloud Computing, or Data Engineering.
  
  

Required Experience (demonstrable and advanced):

• Data Architecture & Systems: Extensive experience in designing, implementing, and optimizing complex, distributed information system architectures, including relational and NoSQL databases.
• Cloud Environments: Deep expertise in defining, implementing, managing, and maintaining enterprise-scale Cloud environments. Expert command of Azure and Google Cloud Platform (GCP), including PaaS/SaaS, serverless computing (Functions, Cloud Run, Azure Functions), containers (Docker, Kubernetes/AKS/GKE), and native cloud data services.
• Modern Data Warehouses: Advanced experience with cloud-native Data Warehouses like Snowflake, including dimensional data modeling, query optimization, and cost/performance management.
• Data Orchestration & Pipelines: Robust experience with data orchestration tools and building complex ETL/ELT pipelines using Pentaho, Apache Airflow, Data Factory, or similar, including CI/CD implementation for data pipelines.
• Advanced SQL: Demonstrable experience with advanced SQL, including complex analytical functions, query optimization, stored procedures, and efficient schema design.
• Software Development: Demonstrable experience with Javascript and Node.js, and Python for scripting, data automation, and ML model development.
  
  

Desired Experience:

• Customer Data Platforms (CDP): Experience in strategic definition, implementation, management, and maintenance of CDP solutions, preferably Segment, and their integration.
• Enterprise System Integration: Desirable experience with enterprise-level integration tools like Mulesoft or microservices architectures with REST/GraphQL APIs.
• Salesforce Ecosystem: Valuable experience working with Salesforce (Sales Cloud, Service Cloud, Marketing Cloud – SFMC), including data integration and automation.
  
  

Knowledge (Essential and Valuable):

• Deep knowledge and certifications in managing and optimizing cloud environments (Azure, GCP).
• Advanced knowledge and certifications in Snowflake (SnowPro Advanced/Architect is a plus).
• Proficiency in CDP tools (especially Segment).
• Knowledge of CRM / Marketing Automation tools (SFDC, SFMC, Adobe Campaign, Selligent Marketing Cloud).
• Advanced SQL knowledge (Analytical Functions, T-SQL, PL/SQL).
• Proficiency in programming languages like Javascript, Node.js, and Python.
• Strong understanding of Data Quality principles, Data Governance, and Normalization.
• Solid understanding of Machine Learning and AI algorithms for data enrichment and transformation.
• Experience with data streaming architectures (Kafka, Pub/Sub, Azure Event Hubs).
• Familiarity with MLOps and DataOps concepts.
  
  

Skills:

• Ability to analyze and solve complex problems.
• Project management and organizational skills for end-to-end data projects.
• Meticulous attention to detail and commitment to data quality.
• High capacity for discernment and prioritization in dynamic environments.
• Technical leadership and mentoring of junior profiles.
• Strategic thinking and innovation-oriented mindset.
• Excellent communication and presentation skills for clients and multidisciplinary teams.
  
  

Languages:

• Spanish (Native or Bilingual proficiency).
• English (High level C1/C2 - Essential for communication with international clients).
  
  

What would you do in this role? Here’s a list of responsibilities and tasks:

• Lead strategic requirements gathering, high-level design, and implementation of complex data solutions for client communication initiatives.
• Design and evolve scalable, efficient data architectures, selecting appropriate cloud-native technologies for each project.
• Design, develop, and optimize ETL/ELT data integration processes to ensure high-quality data ingestion, transformation, and availability.
• Implement end-to-end data solutions, ensuring validation, thorough documentation, and adherence to best practices in data engineering and security.
• Provide training and knowledge transfer to internal teams and clients.
• Maintain, evolve, and optimize existing data projects, ensuring monitoring, incident resolution, and continuous improvement.
• Manage and optimize client databases, ensuring performance, integrity, and security.
• Innovate with AI/ML: Implement data cleansing, normalization, consolidation, deduplication, and enrichment systems using ML/AI algorithms, including predictive scoring and customer clustering.
• Ensure Data Quality and Governance: Implement DQ mechanisms, guarantee data integrity, and ensure GDPR compliance across all processes.
• Strategically collaborate with clients: Participate in high-level meetings to assess current information system architectures, propose innovative improvements, and lead solution definitions for future challenges and new data platforms.
• Mentor and guide other data engineers, fostering best practices and professional development.
  
  

And since you'll give this and much more, we also want to give you much more:

• A dynamic and creative work environment.
• Important clients and international brands.
• Full-time position.
• Hybrid format.
• Christmas, Easter, July, and August: FULL REMOTE
• Flexible hours.
• Permanent contract with a six-month trial period.
• 22 working days of vacation per year + 12 extra days!
• Optional access to flexible compensation (health insurance, transportation, meals, and childcare).
• Ogilvy Wellness Program: Free psychological, legal, and financial support service. Discounts on physiotherapy and gyms.
• Ogilvy is recognized with the Family-Responsible Company (EFR) certification for its commitment to employee well-being and work-life balance.
  
  

If you’ve imagined yourself in this position, that’s a good sign. At Ogilvy, we want to work with the best talent—those who challenge us and make us better. People who are eager to experience an agency culture open to diversity as a principle and connectivity as a primary tool.

So, if you're nodding your head while reading this, send us your CV!

Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote

What you will do

As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 Full-Time/Remote

What you will do

As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

How You'll Make an Impact:

As the Manager, HRBP you will be a strategic partner to senior leaders and a key point of support for Cloudbeds team members across Spain and the broader EMEA region.

In addition to serving as the HRBP for one of our global business units:

• CS + Onboarding

You will also own all regional employment and contractor/EOR compliance. This includes Spain’s labor laws, CBAs, Equality Plans, and EOR/contractor oversight across multiple EMEA countries.

You will help shape organizational effectiveness, strengthen leadership capability, guide culture and team member relations, and contribute directly to our global People strategy.

You will work closely with HRBPs, People Ops, Talent Acquisition, Payroll, Workday/Systems, and senior leadership at all levels — Leads, Managers, Directors, VPs, SVPs, and C-level executives.

This is a highly visible, strategic role critical to a growing and complex region.

In this role, you will also be responsible for managing confidential and sensitive team member information, supporting internal audits, and coordinating region-specific compliance initiatives. You will collaborate closely with cross-functional teams, leverage HR systems like Workday for data accuracy and reporting, and contribute to continuous improvement of HR processes. Given the scope and autonomy of the role, this position requires a solid understanding of regional employment practices, strong analytical skills, and the ability to work independently across time zones.

Our People Team:

We’re a globally distributed, multicultural People Team spanning North America, Latin America, EMEA, and APAC, and that global footprint isn’t just a fact, it’s a strength we fully embrace. Our team brings a rich blend of perspectives, experiences, and cultural fluency that fuels everything we do, from nuanced people strategies to inclusive systems and scalable processes that work for everyone, everywhere.

We collaborate with heart and hustle. Despite time zones and borders, we operate with high trust, clear communication, and deep mutual respect. Whether we’re partnering with hiring managers, leading HR transformation, supporting regional teams, or crafting intentional team member experiences, we show up for each other and for the people we serve!

This is a team where empathy meets execution. Where people who thrive are those who are curious, proactive, globally minded, and genuinely passionate about making Cloudbeds a place where every team member can do their best work. We’re not just People Team, we’re culture shapers, problem solvers, strategy supporters, and people-first builders.

What You Bring to the Team:

Strategic HR Partnership: 

• Serve as the primary HRBP for:
• CS + Onboarding

• Partner with leaders across multiple levels to understand business needs and align People strategies.
• Lead organizational design, workforce planning, leadership coaching, talent programs, and change initiatives.
• Provide strategic insights to help build inclusive, high-performing teams.

Team Member Relations and Culture

• Manage and resolve complex team member relations with confidentiality and strong judgment.
• Support development conversations, performance management, corrective actions, and conflict resolution.
• Partner on global and regional engagement and culture initiatives.

Regional Employment and Contractor Compliance

Own compliance across Spain and EMEA, including:

Spain

• Employment law and regulatory requirements
• Collective Bargaining Agreements (CBAs)
  Equality Plans
  Mandatory conciliation processes
• Termination and documentation compliance

EMEA

• Multi-country employment and contractor regulations
• EOR (Employer of Record) compliance for EMEA countries
• Contractor policy alignment
• Regional documentation requirements

Work closely with Legal, Finance, and People Ops to ensure compliant processes across the entire team member and contractor lifecycle.

People Operations and HR Systems

• Partner with People Ops on onboarding, offboarding, transfers, and lifecycle processes.
• Maintain accurate and confidential team member data in Workday.
• Support compensation cycles, calibrations, and workforce reporting.
• Partner with Business Systems to troubleshoot Workday workflows or data issues.

Global HRBP Collaboration

• Work with HRBPs across NORAM, LATAM, EMEA, and APAC to ensure global consistency in practices and programs.
• Support global People initiatives, including performance, DEI, compensation, leadership development, and workforce planning.
• Strengthen cross-regional People processes and communication.

What Sets You Up for Success:

• Bachelor’s degree or equivalent experience in HR, Business Administration, or related field.
• 3–4+ years of progressive HRBP, HR Manager, or senior HR Generalist experience.
• Experience supporting GTM/Strategy or CS/Onboarding organizations.
  Strong knowledge of Spanish labor law, CBAs, Equality Plans, and conciliation processes.
  Experience with EOR and contractor compliance across EMEA.
  Proven ability to coach and influence leaders at all levels.
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint), with strong data manipulation and analysis skills in Excel.
• Excellent organizational skills and meticulous attention to detail.
• Strong communication (written and verbal) and interpersonal skills, with the ability to work independently and as part of a team.
• Ability to handle sensitive and confidential information with discretion and a high level of integrity.
• Excellent communication and relationship-building skills across cultures and time zones.
• Strong judgment, ownership, confidentiality, and problem-solving.
• Experience working in a fast-paced, high-growth, remote-first environment.
• Workday experience is a strong plus.

#LI-SD1

How You'll Make an Impact:

As the Manager, HRBP you will be a strategic partner to senior leaders and a key point of support for Cloudbeds team members across Spain and the broader EMEA region.

In addition to serving as the HRBP for one of our global business units:

• CS + Onboarding

You will also own all regional employment and contractor/EOR compliance. This includes Spain’s labor laws, CBAs, Equality Plans, and EOR/contractor oversight across multiple EMEA countries.

You will help shape organizational effectiveness, strengthen leadership capability, guide culture and team member relations, and contribute directly to our global People strategy.

You will work closely with HRBPs, People Ops, Talent Acquisition, Payroll, Workday/Systems, and senior leadership at all levels — Leads, Managers, Directors, VPs, SVPs, and C-level executives.

This is a highly visible, strategic role critical to a growing and complex region.

In this role, you will also be responsible for managing confidential and sensitive team member information, supporting internal audits, and coordinating region-specific compliance initiatives. You will collaborate closely with cross-functional teams, leverage HR systems like Workday for data accuracy and reporting, and contribute to continuous improvement of HR processes. Given the scope and autonomy of the role, this position requires a solid understanding of regional employment practices, strong analytical skills, and the ability to work independently across time zones.

Our People Team:

We’re a globally distributed, multicultural People Team spanning North America, Latin America, EMEA, and APAC, and that global footprint isn’t just a fact, it’s a strength we fully embrace. Our team brings a rich blend of perspectives, experiences, and cultural fluency that fuels everything we do, from nuanced people strategies to inclusive systems and scalable processes that work for everyone, everywhere.

We collaborate with heart and hustle. Despite time zones and borders, we operate with high trust, clear communication, and deep mutual respect. Whether we’re partnering with hiring managers, leading HR transformation, supporting regional teams, or crafting intentional team member experiences, we show up for each other and for the people we serve!

This is a team where empathy meets execution. Where people who thrive are those who are curious, proactive, globally minded, and genuinely passionate about making Cloudbeds a place where every team member can do their best work. We’re not just People Team, we’re culture shapers, problem solvers, strategy supporters, and people-first builders.

What You Bring to the Team:

Strategic HR Partnership: 

• Serve as the primary HRBP for:
• CS + Onboarding

• Partner with leaders across multiple levels to understand business needs and align People strategies.
• Lead organizational design, workforce planning, leadership coaching, talent programs, and change initiatives.
• Provide strategic insights to help build inclusive, high-performing teams.

Team Member Relations and Culture

• Manage and resolve complex team member relations with confidentiality and strong judgment.
• Support development conversations, performance management, corrective actions, and conflict resolution.
• Partner on global and regional engagement and culture initiatives.

Regional Employment and Contractor Compliance

Own compliance across Spain and EMEA, including:

Spain

• Employment law and regulatory requirements
• Collective Bargaining Agreements (CBAs)
  Equality Plans
  Mandatory conciliation processes
• Termination and documentation compliance

EMEA

• Multi-country employment and contractor regulations
• EOR (Employer of Record) compliance for EMEA countries
• Contractor policy alignment
• Regional documentation requirements

Work closely with Legal, Finance, and People Ops to ensure compliant processes across the entire team member and contractor lifecycle.

People Operations and HR Systems

• Partner with People Ops on onboarding, offboarding, transfers, and lifecycle processes.
• Maintain accurate and confidential team member data in Workday.
• Support compensation cycles, calibrations, and workforce reporting.
• Partner with Business Systems to troubleshoot Workday workflows or data issues.

Global HRBP Collaboration

• Work with HRBPs across NORAM, LATAM, EMEA, and APAC to ensure global consistency in practices and programs.
• Support global People initiatives, including performance, DEI, compensation, leadership development, and workforce planning.
• Strengthen cross-regional People processes and communication.

What Sets You Up for Success:

• Bachelor’s degree or equivalent experience in HR, Business Administration, or related field.
• 3–4+ years of progressive HRBP, HR Manager, or senior HR Generalist experience.
• Experience supporting GTM/Strategy or CS/Onboarding organizations.
  Strong knowledge of Spanish labor law, CBAs, Equality Plans, and conciliation processes.
  Experience with EOR and contractor compliance across EMEA.
  Proven ability to coach and influence leaders at all levels.
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint), with strong data manipulation and analysis skills in Excel.
• Excellent organizational skills and meticulous attention to detail.
• Strong communication (written and verbal) and interpersonal skills, with the ability to work independently and as part of a team.
• Ability to handle sensitive and confidential information with discretion and a high level of integrity.
• Excellent communication and relationship-building skills across cultures and time zones.
• Strong judgment, ownership, confidentiality, and problem-solving.
• Experience working in a fast-paced, high-growth, remote-first environment.
• Workday experience is a strong plus.

#LI-SD1