FEQ227R310

The location for the role should be in the Madrid region (i.e. within a commutable distance for a hybrid schedule).

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with clients in Spain, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Mandatory requirements:

• The location for the role should be in the Madrid region (i.e. within a commutable distance for a hybrid schedule).
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings).
• Business proficiency in both Spanish and English required. 

En Cabify creemos que una nueva forma de movilidad urbana es posible. Un ecosistema que permita tener menos coches privados en las calles, vehículos más sostenibles y rutas más eficientes.

Ciudades en las que sus calles estén pensadas por y para las personas, y no para los coches. Productos y servicios que, mediante alternativas de movilidad sostenibles y eficientes, generen valor económico, social y medioambiental.

Y no solo es que creamos en ello, sino que trabajamos la magia para hacerlo posible. Si compartes con nosotros el mismo propósito, sigue leyendo porque… ¡Este es tu sitio!

Buscamos una persona para unirse al área de BSG (Business Strategy & Growth) como Rider Growth Analyst para el mercado local de España.

Este área impulsa el crecimiento sostenible y la creación de valor de la compañía, desarrollando estrategias que conectan con clientes, usuarios, socios y mercados clave. Lidera iniciativas de expansión, adquisición y retención de usuarios y clientes, fortalece la propuesta de valor de la marca y maximiza el impacto de alianzas estratégicas. Además, garantiza que las decisiones de negocio estén respaldadas por análisis de mercado, datos y creatividad, optimizando operaciones, experiencia de usuarios y conductores, y contribuyendo al desempeño financiero y al liderazgo de la compañía en todos sus segmentos. 📊

🎯 Misión del puesto

• Performance y control: monitorizarás KPIs clave de región (DO como métrica principal, con guardrails de GMV/ticket y eficiencia), identificando desvíos, causas probables y oportunidades.
• Scorecards y dashboards: diseñarás y mantendrás tableros de control y scorecards en Tableau (y herramientas complementarias) para mejorar la visibilidad y acelerar la toma de decisiones, reduciendo análisis manual y reactivo.
• Industrialización analítica entre regiones: construirás análisis y plantillas replicables (por zona, momento, cohorte/segmento) que permitan comparar regiones y detectar patrones de forma consistente.
• Deep dives geográficos: analizarás comportamiento por barrios, hubs y momentos (día/semana), identificando oportunidades en conversión, sensibilidad al precio y potencial de reactivación/adquisición.
• Business cases y propuestas accionables: prepararás 1-pagers y business cases para iniciativas regionales (p. ej., pricing ancla, ajustes geográficos, activaciones por eventos, planes de reactivación), cuantificando impacto esperado, riesgos, esfuerzo y guardrails.
• Alineamiento transversal para ejecutar: coordinarás con stakeholders  para que las iniciativas se implementen correctamente y se midan con claridad, haciendo valer tus propuestas con datos y criterio.
• Conexión con Rider Growth: aterrizarás en el plano regional aprendizajes y palancas definidas por Rider Growth, garantizando consistencia entre estrategia de usuario y ejecución local.
• Cierre de loop y mejora continua: medirás resultados, documentarás aprendizajes y propondrás iteraciones para escalar lo que funciona y frenar lo que no.

¿Qué buscamos?

• Experiencia en análisis de negocio, growth, operaciones o performance en entornos B2C o marketplace (movilidad, delivery, travel o consumer tech).
• Capacidad analítica aplicada a decisiones: estructurar problemas, interpretar datos y convertirlos en recomendaciones accionables.
• Dominio de herramientas de análisis/visualización: Tableau (muy valorable) + Excel/Sheets; conocimiento de SQL es un plus importante y Python es un plus adicional (automatización/escala).
• Habilidad para comunicar con claridad: síntesis, storytelling con datos, 1-pagers orientados a decisión.
• Capacidad de trabajo transversal: colaboración con múltiples equipos y proactividad para alinear y empujar iniciativas hasta su ejecución.
• Mentalidad orientada a impacto y al cliente: entender cómo el contexto local, la propuesta de valor y la operativa afectan a la demanda.
• Potencial de crecimiento y ownership: buscamos una persona con recorrido, criterio y ganas de elevar el estándar del equipo.

💜 ¿Por qué Cabify es tu mejor opción?

• 📝 Contrato indefinido.
• 🔋 Recharge Day (Días libres extra para recargar pilas)
• 🌍 Horario flexible y modelo híbrido de trabajo
• 💸 Crédito mensual para usar en nuestra App de Cabify
• 👩🏽‍🎓 Presupuesto anual para formación y desarrollo personal
• 💰 Planes de retribución flexible adaptados a tus necesidades
• 🎟️ Descuentos en restaurantes, tiendas y gimnasios
• 🐶 Sala de mascotas para que te traigas el peludo a la oficina
• 🖥️ Equipo de trabajo para que desarrolles todo tu talento
• 🍇☕ Espacios con fruta fresca y café para recargar energías
  
  

Cabify se enorgullece de ser un lugar de trabajo con igualdad de oportunidades. Celebramos la diversidad y estamos comprometidos con crear un entorno inclusivo para todas las personas, independientemente de su origen, género, religión, orientación, edad o capacidad. ¡Únete a nosotros!

Are you eager to learn new technologies? Do you appreciate a free working environment where you get a high level of decision-making authority but also the support you needed? Can you turn business requirements into excellent technical solutions leveraging Adobe technologies? And would you like to work with some of the world’s most skilled marketing automation developers on one of the most advanced CRM/marketing platforms? Then you might be just the one we are looking for!

What will your day look like?

In the role as an Adobe Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy, and target for the project, followed by designing, developing, and implementing robust solutions leveraging Adobe marketing platforms.

Furthermore, your tasks include:

• Leading the implementation of new features, bug fixes, and complex configurations within Adobe environments.
• Collaborating with Architects and Technical Project Managers to translate client requirements into precise technical specifications, estimates, and deployment plans.
• Conducting in-depth technical investigations, troubleshooting issues, and proposing effective solutions, often involving advanced programming and integration.
• Mentoring and providing technical guidance to Associate and other Developers on complex tasks, coding best practices, and problem-solving techniques.
• Ensuring the successful integration, testing, and deployment of client applications and platforms, applying rigorous quality assurance methods.
• Staying abreast of industry trends and emerging technologies, especially within the Adobe ecosystem, to continually enhance our offerings and provide innovative solutions.
• Acting as a go-to resource for technical challenges, proactively engaging in discussions with clients and internal teams to find the best approach.

Who are you going to work with?

You will become part of an exciting and challenging professional environment, working closely with Architects, Application Consultants, Technical Project Managers, and other Developers (including Associate, Senior, Lead, and Principal levels) within the technical team. You will also collaborate with Data Specialists and Designers outside of your department. Our common feature is that we all are competent, respectful teammates who go the extra mile to help one another.

We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy-going, dynamic atmosphere where we not only work together – we are great at having fun as well.

What do you bring to the table?

You are an outgoing and self-motivated person who contributes positively to the working environment with your team-player attitude. Your previous experience with being a trusted advisor for clients and colleagues means that you are not afraid to express your opinion, and your organized approach helps you meet deadlines and break down projects into manageable chunks.

In addition, you have:

• 4+ years of hands-on development experience, ideally within an agency or consulting environment, with a strong focus on digital marketing solutions.
• Proven expertise with Adobe Experience Cloud platforms, such as Adobe Journey Optimizer (AJO), Adobe Campaign Classic, Adobe Marketo Engage, Adobe Analytics, Adobe Experience Platform (AEP), Adobe Target (AT).
• Strong proficiency in front-end and back-end technologies including JavaScript, HTML, XML, CSS, and SQL, along with experience in other programming languages (e.g., Python, Java) and API integrations.
• Active Adobe certifications such as AJO Developer Expert, RTCDP Developer Expert, Adobe Campaign Classic Developer Expert, Adobe Campaign Standard Developer Expert
• Experience with code versioning systems, automated integration testing, security testing, and secure coding practices.
• Deep understanding of data models, optimization techniques, and GDPR principles.
• Excellent communication skills (in English), with the ability to articulate complex technical concepts to diverse audiences (technical and non-technical).
• A proactive and collaborative mindset, with a strong commitment to continuous learning, problem-solving, and a growth mindset.

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

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

📍Madrid or Barcelona, Spain  | 💰 €77,000 - €94,000 + Incentive Awards tied to your performance ➕ benefits

⭐ About the team:

Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal.

We’re looking for a Credit Risk Manager to help drive the credit and growth strategy for our consumer lending products as we grow our business in Spain. You will lead a team of analysts responsible for developing the credit and pricing strategies as we bring our products to market across the EU.

Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses.

Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way.

🔑You'll play a key role:

• Lead a team of analysts that will develop credit and pricing strategies for our Borrowing products and distribution channels
• Work closely with Borrowing squad leadership to develop and execute an ambitious growth strategy 
• Collaborate with people from engineering, marketing, product, risk and control to design and deliver new products and customer journeys
• Lead the development and maintenance of the NPV models and affordability strategies that underpin the Borrowing underwriting decisions
• Monthly monitoring and reporting on Borrowing performance to stakeholders up to executive level
• Build, maintain and own the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
• Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models
• Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely

🤩 You should apply if:

• What we’re doing here at Monzo excites you!
• You have extensive experience in unsecured lending in Spain
• You have a deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have experience with the development and maintenance of NPV models
• You have a strong understanding of the regulations that apply to lending in Spain.
• You have track record leading and developing analytical teams
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
• You have experience in project management and coordination across teams.
• You work well collaborating in a team with diverse skill-sets and personality types.
• You are highly motivated and energised by the idea of bringing a positive impact to our customers and Monzo.

We're on the look out for L60 Credit Risk Managers at the moment, you can read more in our Data Progression Framework

🙌What’s in it for you

💰A base salary of €77,000 - €94,000 + Incentive Awards tied to your performance

📍This role will have a hybrid working model, based in our Barcelona or Madrid office 2 - 3 days a week.

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

🏝 Annual Leave - 38 days including public holidays

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 3 key steps

• Recruiter call 
• Initial call with the hiring manager 
• Final loop of interviews (x3)

This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

Do you want to drive the next urban revolution? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting  riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go… want to be part of this journey?

About the position

You will join Cabify’s Applied Science team, a group of highly motivated data scientists with access to all data within the organization. The team is involved in all main areas of the company, including vehicle and route management, understanding user experience, pricing, fraud detection, and marketing optimization (see for yourself: exhibit A, exhibit B, exhibit C). You will work with state-of-the-art tools and infrastructure to help improve everyday operations in more than 40 cities worldwide. Cabify's Applied Science team provides a unique opportunity to research, test and implement great ideas that will shape the future of our cities.

As a Senior Data Scientist in our team, you will:

• Propose and develop high-impact data science projects, working closely with other data, engineering, product and business teams.
• Design, train, and validate statistical and machine learning models and help deploying them into production.
• Participate in the definition and results analysis of real-life experiments, following academy-standard scientific methods and procedures, to demonstrate the impact of the new product features we develop.
• Help to convert the team’s work into real and tangible business insights that bring value to the company.
• Participate in research and innovation, bringing new ideas to the team and helping expand our technical and scientific knowledge.
• Participate in the diffusion of complex ideas to all sorts of stakeholders, in alignment with the deeply-rooted data culture of the company.
• Be an active participant in product development conversations, proposing new features and providing the data science perspective in everything we build.
• Be a technical reference within the team, fostering growth and promoting best practices.

What we’re looking for

• At least 5 years of professional experience working as a data scientist or equivalent research role.
• Strong educational background, e.g. Master/PhD in Computer Science, Physics, Engineering, Mathematics, Economics, etc.
• Experience leading the design, training and validation of statistical and machine learning models.
• Strong knowledge of Python for data analysis and data visualization libraries.
• Experience with data extraction and processing. Capable of writing complex SQL code.
• Experience bringing machine learning to production, with all its subtleties: deploying, training, testing, model degradation, model serving, etc.
• Ability to work autonomously in an unstructured environment.

Bonus Points

• Strong background in Probability & Statistics.
• Experience in the various aspects of scientific experimentation (experiment design, population sampling, testing methodology, statistical significance analysis, etc.).
• Experience publishing in peer-reviewed scientific journals.
• Experience with state-of-the-art methods in topics like deep learning models, time series analysis, bayesian statistics, causal inference, etc.
• Experience with geo data modeling, analysis and visualization.

What’s it like to work at Cabify?

We’re a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

💶 Excellent Salary conditions: 50K - 63K€

🏝️ Recharge days! (10 Free Fridays annually)

🌍 Our office is located in Madrid. 

⌚ Flexible work environment & hours.

🙌 Regular team events.

🚗 Cabify staff free rides.

🚀 Personal development programs based on our career paths.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

🐱 A pet room ,so you don’t have to leave your furry friend at home

☕️ And last but not least...free coffee and fruit!

Cabify is proud of being an equal opportunity workplace. We celebrate diversity and we are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age or ability.

Join us!

Hi, I’m Brayn, the Global WFM Manager at N26, and I am looking for a new WFM Forecasting Expert to join our brand new Operations team in Madrid.

• Do you have hands-on management experience in forecasting processes?
• Do you love solving complex problems using SQL and Python to create new and adjust existing forecasting models as well as for data analysis and KPI monitoring?
• Do you enjoy building and maintaining Forecasting in Operations?

About the opportunity

The Forecasting Expert is the advanced level role in our workforce management team and owns the WFM Forecasting processes for one or more business lines (depending on their size) end to end. This includes being in charge of administering volume forecasts, their input metrics as well as creation, delivery and presentation to internal and external stakeholders. This to ensure the achievement of forecasting targets and Service Level Agreements.

In this role, you will:

• Ensure maintenance of volume forecasting from information gathering for the input metrics and creation through to delivery and presentation to stakeholders and reportings.
• Regular process reviews and end to end planning of improvement projects.
• Ensure all service desk tickets and WFM emails are supported within agreed SLA.
• Bring clear and to-the-point oral + written communication skills to convey solutions in a business context.
• Drive the culture of the team to create an innovative and collaborative environment.
  
  

What you need to be successful:

Background:

• Embrace and drive change with a positive, resilient approach to challenging situations.
• Communication skills that clearly present ideas, theories, and technical information to operations and managerial staff. 
• English language proficiency is a must, additional languages relevant to our markets are a plus.
• Experience with advanced Spreadsheets (excel or google).
• SQL and Python are required, a similar language is a plus.
• Experience in the same or a similar role.
• Experienced in working with workforce management technologies, ideally Calabrio, is a plus but not essential.

What’s in it for you:

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

Who we are:

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

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

Founded in 2013, N26 now has more than 8 million customers in 24 markets. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

N26 is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers, providing mobility alternatives such as scooters and mopeds and many others to come, all at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go… Fancy joining us?

Our Product & Engineering teams are both based in Madrid, with a strong remote culture, and include an eclectic bunch of awesome people from different backgrounds like Ruby, Go, Elixir, Javascript, and Python.

Right now we’re working on some pretty greenfield projects with a solid set of product ideas lined up ready for innovative engineers to tackle. And of course we have big plans to take over the taxi app service industry!

Site Reliability Engineers at Cabify work on improving all aspects of our platform and have an impact across the whole organisation. They are a blend of systems engineers and software developers who solve scalability issues with software and implement the best production engineering and security practices.

Check our Public Tech Handbook >HERE< to know a bit more about us!

As a Site Reliability Engineer, you will be:

• Evolving our infrastructure platform building self-service components that will be used by all the engineering team and by millions of users around the world.
• Working closely with our Product and Infrastructure teams to architecture and develop world-class infrastructure components.
• Designing and implementing tooling to improve the availability, scalability, observability and latency of our services, which are used by internal customers to deploy and operate their services.
• Increasing reliability awareness with other teams, helping with the adoption of reliability principles and reviewing observability implementations or software architectures.
• Defining SLIs, SLOs and SLAs as part of the services' lifecycle.
• Sharing an on-call schedule for the platform services you own.
• Solving problems in our highly available platform together with other teams, then build automations to prevent incidents from happening again.
• Participating in our recruiting process to help grow our engineering team.

You may be a fit for this role if you:

• Think Unix, you know the networking stack, the OSI model, containers (and schedulers), and you know your way around monitoring, logging and the CAP theorem (bonus!).
• Have strong programming skills in at least one language, and know your way around a few more or can learn them if the opportunity arises.
• Automate yourself out of everything by nature, making machines do the toil.
• Communicate effectively and asynchronously. 
• Care about the things that affect the company, your team, and yourself.
• Embrace diversity and humbleness (and a bit of trolling).
• Prefer taking iterative action over waiting for things to happen or to be perfect.
• Strongly favor simplicity over complexity. Ie, adhering to the KISS principle.
• Have a sense for identifying, exploiting and elevating bottlenecks.
• Are not afraid of expressing yourself in English. We aren't expecting you to have the Queen's accent, but you'll be part of an international team and we communicate in English, so you should be comfortable with that.
• Enjoy herding cats and shaving yaks. Ie, being a great influence to other product teams and teaching them best practices. As well as analyzing and simplifying our setup.

Projects you could work on:

• Helping us iterate on and improve our Kubernetes setup (AWS EKS) and surrounding infrastructure (i.e. secrets, container images and repositories) using Terraform.
• Iterate our networking layer to implement network policies, service mesh, and more…
• Evolving our observability platform (Grafana stack and Cortex), in order to provide a first-class service to all of our engineering teams.
• Operating and improving the persistence layer (SLQ and no-SQL DBs).
• Maintaining our company-wide code repository and continuous integration solution (GitLab)

What’s it like to work at Cabify?

We’re a company full of happy, motivated people, and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

💶 Excellent Salary conditions: L4 [up to 75K]
🏝️ Recharge day: 10 Fridays Off Annually!
🌍Our office is located in Madrid. This position is also open to a full remote role based in Spain.
⌚Flexible work environment & hours.
🙌Regular team events.
🚗Cabify staff free rides.
🚀Personal development programs based on our career paths.
🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.
📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
📐Free access to O'Reilly - The largest technical leading platform for engineers.
💳Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare
💻All the equipment you need (you only have to bring your talent).

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like - Women Tech Dating - Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.

Join us!

Opportunity for Impact

Taxbit is seeking a Cloud Security Engineer to be a critical partner in securing and scaling our cloud infrastructure. This role combines hands-on security engineering with close collaboration across engineering, product, and customer-facing teams—ideal for someone who thrives at the intersection of security, software, and real-world impact. You will work directly with engineering teams to design secure AWS architectures, build scalable security tooling, and embed security into the development lifecycle. You will act as a trusted advisor, helping teams navigate challenges from infrastructure hardening to application security and threat modeling. You will also build and evolve core security capabilities, including cloud-native security systems, automated detection and response, and scalable platform improvements that strengthen our overall security posture.

We welcome individuals who are humble, hungry, and excited to tackle some of the industry's biggest challenges at the intersection of cloud infrastructure and security!

This role is based in Madrid. Candidates must be legally authorized to work in Spain or another European Union country without company-sponsored visa support (e.g., holders of a valid Residency and Work Visa or Permanent Resident status). 

Role and Responsibilities

Security Engineering

• Partner closely with engineering teams to design secure, scalable AWS architectures and services.
• Work directly with customers and internal stakeholders on real-world deployment scenarios across AWS and other cloud environments, designing and implementing secure solutions tailored to their infrastructure.
• Act as a trusted security advisor throughout the software development lifecycle—from design to deployment.
• Lead threat modeling exercises for applications and infrastructure, identifying risks and driving mitigation strategies.
• Collaborate with developers to implement secure coding practices and application security controls.
• Design, build, and operate cloud-native security infrastructure across AWS environments.
• Develop automated security controls, detection mechanisms, and response capabilities.
• Build and maintain Infrastructure-as-Code (Terraform or AWS CDK) to enforce secure configurations at scale.
• Define and implement systems that generate high-quality security signals for threat detection and response.
• Own security problems end-to-end, from identifying gaps to delivering production-ready solutions.
• Contribute to DevSecOps practices by integrating security into CI/CD pipelines and developer workflows.
• Continuously improve security standards, engineering practices, and system reliability.

Security Strategy & Enablement

• Serve as the voice of security across engineering, translating risks into actionable engineering work.
• Drive improvements in cloud security posture, including identity, network, and data protection.
• Educate and mentor engineers on secure design principles, threat modeling, and cloud security best practices.
• Help shape the security roadmap by leveraging insights from real-world engineering challenges.

Professional Qualifications

• 5+ years of professional experience in software engineering or security engineering.
• Strong programming skills, with proficiency in Python.
• Hands-on experience with AWS cloud infrastructure and security.
• Experience with Infrastructure-as-Code (Terraform, AWS CDK, or similar).
• Proven experience conducting threat modeling and working on application security.
• Experience implementing DevSecOps practices and securing CI/CD pipelines.
• Strong analytical and problem-solving skills.
• Ability to work autonomously in a fast-paced, distributed environment with minimal supervision.
• Comfortable working independently across time zones, with the majority of the team based in the United States.
• Bachelor’s degree in Computer Science or equivalent.

Technical Qualifications

• Deep experience with AWS services (IAM, VPC, EC2, S3, Lambda, etc.).
• Experience building security tooling, automation, and detection systems.
• Familiarity with logging, monitoring, and security analytics platforms.
• Experience designing secure distributed systems and APIs.
• Knowledge of modern application security practices.

Personal Characteristics

• Passionate about building secure systems and solving complex problems.
• Strong sense of ownership and accountability.
• Comfortable collaborating across teams.
• Thrives in an agile, fast-paced environment.
• Enjoys mentoring others.

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

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:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

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:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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: 

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

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

#LI-Hybrid

The Data Science team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Software Engineer on the Data Science team, you will design, build and scale the backend systems that power our growing suite of Watchdog products. You will be working on large-scale distributed systems, horizontally-scalable datastores and a variety of data-processing frameworks to build our next-generation platform and capabilities for Data Science at Datadog. 

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

What You’ll Do: 

• Build common services and components encapsulating data science capabilities for other products and teams to leverage
• Enable new capabilities for our core products by integrating and preprocessing data from tens of sources and preparing it for incorporation into data science models
• Ensure that our data science-driven features continue to scale well as Datadog adds more customers and ingests more data per customer
• Leverage modern tools and frameworks to improve the performance and cost-efficiency of data science services
• Join an amazing team of data scientists and software engineers building a product that our customers love to use
• Work all over the stack, moving fluidly between programming languages and technologies
  

Who You Are: 

• You have experience working in Python, Java, Scala or Go 
• You have experience working with microservices and/or distributed systems
• You value simplicity and getting the right things done
• (Senior Level) You have built high-volume data pipelines
• (Senior Level) You have expertise in Python, Go or Scala and are familiar with Spark or Flink
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how

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: 

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

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

#LI-ER1

#LI-Hybrid

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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: 

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

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

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

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:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• 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: 

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

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

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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: 

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

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

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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: 

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

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

#LI-Hybrid

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).

The Mission

We are building more than a calculation engine; we are building an integrated global financial ecosystem. As a Principal Engineer, you will own the end-to-end lifecycle of payroll data—from the moment an employee is onboarded in a third-party HRIS, through our deterministic bitemporal calculation engine, to the final generation of global payment files and statutory reporting.

You are an architect who writes code, a data engineer who understands state, and an integration expert who knows that a payroll system is only as good as the data flowing into it.

The Stack

• Core Engine & Data: Python (NetworkX, Pydantic, Decimal), PostgreSQL (Bitemporal modeling, dbt for analytics).
• Integrations & Pipelines: Node.js/TypeScript, Event-sourced architecture (Message Queues, Webhooks).
• The Ecosystem: Deep integrations with HRIS/HCMs (Workday, HiBob, BambooHR) and Ebury’s Payments architecture.
• AI-Augmentation: Claude Code for development and AI-driven data extraction.

What You’ll Own (The End-to-End Scope)

1. The Calculation Engine: Design the DAG-based resolver and bitemporal logic to handle complex, multi-jurisdictional payroll math with 100% accuracy.
2. Data Ingestion & Transformation: Architect the pipelines that ingest messy, unstructured data from fragmented HRIS sources and transform it into our deterministic PayrollRuleSchema.
3. Third-Party Integrations: Build robust, API-first connectors and "Outbox" pattern event systems to sync data across the global HR/Fintech stack.
4. The Payment & Reporting Rail: Own the generation of complex output artifacts—from ISO 20022 payment files to localized tax filings and GL (General Ledger) reports.
5. Bitemporal Data Strategy: Ensure the entire data lake supports "As-Of" reporting, allowing users to reconstruct the state of any payroll run at any point in history.

Your Pedigree

• The Full-Stack Backend Mindset: You are equally comfortable optimizing a recursive SQL query as you are designing a resilient webhook listener or a topological sort algorithm.
• Data Pipeline Veteran: You have experience with ETL/ELT patterns, data validation frameworks, and ensuring Exactly-Once processing in financial systems.
• Domain Expertise: You’ve built at Deel, Rippling, Papaya Global or similar Tech-first Global Payroll and Payments company, and you understand that "Integrations" aren't just about APIs—they’re about mapping conflicting data models across cultures.
• Architectural Leadership: You can bridge the gap between "Product needs this integration tomorrow" and "Our data model needs to remain pure for the next 5 years."

The "Hard" Requirements

• Deep Polyglot Backend Skills: Expertise in Python (for the engine) and Node.js/TypeScript (for the integration layers).
• PostgreSQL Mastery: You understand bitemporality, window functions, and how to manage schema evolution in a multi-tenant SaaS environment.
• Location: London (Preferred), Madrid, or Malaga (4 days/week in-office).

The Role:

We are seeking an enthusiastic and highly autonomous Senior Automation & Integration Engineer to serve as a versatile technical architect across the organization. In this hands-on role, you will act as the “Automation Engine,” directly impacting company efficiency and scalability by orchestrating end-to-end technical solutions. You will be responsible for connecting, transforming, and managing data flows across our entire systems stack through AI-driven automation.

We are looking for an individual who embodies extreme ownership: someone capable of proactively engaging stakeholders, unblocking challenges, and getting things done.

The Work You'll Do:

• Design and Build: Develop and implement robust, scalable AI automation workflows using Make as the primary integration platform to connect core business systems, with particular focus on Workday as our primary ERP.
• Orchestrate and Integrate: Take full ownership of technical solutions, managing data flows, transformations, and database manipulation to ensure seamless integration between tools — including Workday Finance and Workday HCM 
• Innovate with AI: Proactively explore, evaluate, and implement AI applications (both within and outside of Make) to boost our solutions and drive operational efficiency.
• Collaborate and Engage: Partner with stakeholders across Legal, Finance, HR/P&C,IT and other departments to identify opportunities for automation and process improvement, acting as the technical bridge between business needs and systems capability.
• Experiment and Secure: Champion experimentation by testing new technologies while balancing innovation with a mindful approach to security, data integrity, and scalability — especially when handling sensitive financial and people data in Workday.
• Govern and Document: Contribute to the development and maintenance of documentation for automation workflows and integrations. Support the implementation of governance frameworks, including Workday integration standards and change management practices.
• Proactive Problem-Solving: Independently diagnose complex, cross-system issues. Identify architectural gaps and risks across end-to-end process flows. Propose creative solutions with trade-off analysis, and align recommendations to the team mission of enabling scalable, reliable, and compliant operations.
• Mentor and Enable: Mentor junior colleagues. Share domain knowledge through training, documentation, and team rituals. Contribute to a culture of technical excellence and continuous learning.

The Qualifications You'll Need:

• Deep Automation Expertise: 4+ years building production-grade automation workflows with Make (preferred), n8n, Zapier, or Power Automate. You design multi-step integrations with proper error handling, retries, and auditability — and you write scripts (Python and/or JavaScript) when no-code isn't enough. You understand API-based integrations, data modelling, and how to build systems that hold up at scale.
• Workday Integration Experience: Solid hands-on experience across Workday Finance and/or HCM — not just configuration, but a real understanding of the underlying data models and how Finance and P&C teams rely on Workday as their system of record. Practical experience building or maintaining integrations using EIBs, Workday Studio, Core Connectors, PECI/PICOF, or the Workday REST/SOAP APIs.
• Practical AI Application: Demonstrable experience designing and deploying AI-powered workflows, including LLM-based agents, to solve real business problems. You can evaluate AI tools critically, build structured POCs, and write clear assessment summaries — you bring pragmatism, not hype.
• “Get it Done” Mindset: A proactive, self-motivated approach with a bias for action. You thrive in fast-paced environments where requirements might change.
• Stakeholder Management: Proven communication skills and the confidence to engage with Finance and P&C stakeholders as well as technical teams, challenge assumptions, and communicate with radical candor.
• Curiosity: Eagerness to learn and quickly acquire new technical skills in a rapidly evolving tech landscape.

The Team:

Join the Celonis Support Services team, part of a 3-Level Support model, as a dedicated 2nd Level Technical Support Engineer. You will be located in Madrid and report directly to the Director of Customer Support.

The Role:

As a Technical Support Engineer at Celonis, you are at the forefront of the intersection between enterprise-grade software and generative AI. Celonis enables global enterprises to realize the full value of AI, and we lead by example - integrating advanced AI tooling into our internal ecosystems to redefine the support experience.

We provide technical support across the full Celonis technical stack from infrastructure, front-end services through to automation and AI products. In this role, you won’t just be diagnosing and restoring complex technical issues, you will be an AI SME responsible for architecting the future of technical support. 

The work you’ll do:

Your responsibilities are focused on expert technical analysis, resolution of complex incidents, and driving continuous improvement in support operations:

• Provide 2nd Level technical support for customer issues across Celonis technical stack & products,
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• AI Workflow Automation and Modeling that will assist with trouble-shooting in reduce MTTR
• AI SME & Strategy - serve as the Subject Matter Expert for AI in Support, taking ownership of training models and providing feedback loops to improve quality.
• Drive Knowledge Centred Service and Continual Service Improvement initiatives leveraging AI tooling with a strong focus on AI driven solution
• Participate in a day-time hours on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Demonstrated prompt engineering skills for optimizing AI outputs.
• Experienced in troubleshooting AI products, including hallucinations, reasoning issues, misbehavior and building AI Automations and Modeling
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).

Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 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.

Data Engineer: Drive our AI Revolution & Data Ecosystem

Location: Madrid (Hybrid: 4 days office / 1 day WFH)

Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker.

Why Ebury?

At Ebury, we don’t just move money; we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Data Engineer who wants to be at the heart of this transformation.

We aren't looking for "Jira ticket closers." We want problem solvers, tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business.

The Challenge: Beyond Pipelines to AI-Ready Systems 

We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents. Your mission won't just be moving bytes; it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector.

Your Cutting-Edge Toolkit:

• Orchestration: Airflow (Cloud Composer) is our backbone.
• Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry).
• Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines.
• Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts.
• DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions.

What You'll Do

• Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
• Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
• Business Partnership: Work closely with stakeholders to identify high-impact opportunities. If you see a better way to do things, you have the autonomy to lead it.
• Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our platform is a benchmark for scalability.
• Growth & Mentorship: Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one.

About You

You’ll be a great fit if:

• Python & SQL Mastery: You have a deep command of both (+5 years of experience).
• Agile Problem Solver: You thrive on unexpected daily challenges, delivering smart technical solutions at speed and iterating them into robust, production-grade systems. 🚀
• Business Partner: You are proactive and "business-curious", you want to understand the impact of your code on the bottom line.
• You are fluent in English (we are a global team!).

Bonus Points:

• Hands-on experience with LLMs, Vector Databases, or AI Agents. 
• Deep knowledge of DuckDB or DLT.
• Strong foundations in Dimensional Modeling and Data Warehousing.
• Spanish language skills (a plus for office life in Madrid!).

What We Offer

• Competitive Salary + Performance-based discretionary bonus.
• Vibrant Culture: Join a collaborative environment where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
• Work-Life Balance: A modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time.
• Open Source DNA: We follow Open Source principles internally and encourage you to contribute to external projects.
• Continuous Learning: Personal development through certifications and specialized training.

Excited about the role but don't tick every single box? Apply anyway! At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist. 

#LI-JC1

#LI-HYBRID

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

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

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

In this role, you will:

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

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

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

We’d be especially thrilled if you have:

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

#LI-DNI

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

Are you a strategic thinker with a passion for operational excellence and a knack for collaboration? We’re looking for a highly motivated, hands-on, and analytically minded individual to join our team as a Revenue Operations Manager. If you thrive in dynamic environments, enjoy solving complex challenges, and are driven by measurable results, this role is for you.

In this position, you’ll play a critical role in shaping and optimizing the core processes of our commercial teams across Fever. The ideal candidate combines strategic vision with operational expertise, is curious by nature, and has the confidence to take action while effectively working with diverse, cross-functional teams.

The Role:

• Optimize Commercial Processes: Design, build, and implement the core processes of all commercial teams, ensuring alignment with Fever’s growth objectives and improving resource utilization
• Identify Operational Inefficiencies: Partner with commercial team leaders to identify bottlenecks, address potential issues, and deliver impactful solutions
• Lead High-Impact Projects: Drive end-to-end execution of projects that enhance performance across markets and regions in up to 40 countries
• Team Leadership: Manage, mentor, and inspire a team of up to five people, fostering collaboration and accountability
• Cross-Functional Collaboration: Work closely with diverse teams and stakeholders to ensure alignment and success in a multinational environment

Who You Are:

You are a highly analytical, detail-oriented professional with a proactive mindset and the ability to navigate complex challenges. You thrive in fast-paced settings and have the skills to manage multiple priorities with ease.

• A bachelor’s degree in Engineering, Mathematics, Statistics, Data Analytics, or a related STEM field
• 8+ years of experience in operations, strategy, or a similar role within a fast-paced, dynamic environment
• Proficiency in SQL and VBA/AppScript (Python is a plus)
• Strong project management and organizational skills, with a track record of implementing operational improvements
• Excellent communication and presentation abilities, capable of engaging diverse audiences and driving change
• A results-oriented, proactive approach with a passion for empowering teams and delivering measurable outcomes
• Fluency in English (additional languages are a bonus)

Why You´ll Love it Here:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in a location in the heart of Madrid, with possible travel across our markets
• Home-office friendly
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
• English & Spanish Lessons
• We have free food, drink and fruit at the office!
• Possibility to receive in advance part of your salary by Payflow
• Gympass membership

#LI-hybrid #LI-fulltime #LI-AV1

Location: Looking for Australian / Korean citizens / visa holders willing to stay in our Global Hubs for an initial onboarding period of 12 months before relocating into one of our local offices in the APAC market.

The Team

As an Applied AI Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the APAC Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the APAC region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the APAC region to meet clients in person
• Are an effective communicator and fluent in English (and Korean, if applying for Korean market).

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

¿Quieres cambiar el mundo? Eso es lo que hacemos en Cabify. Nuestro objetivo es hacer de las ciudades mejores lugares para vivir, mejorando la movilidad de las personas que habitan en ellas. Conectamos a pasajeros y conductores con tan sólo pulsar un botón.

Creemos en un futuro donde las ciudades no dependan del coche privado, y aunque aún queda camino por recorrer… queremos que nos acompañes en este viaje 🚗✨

🎯 Misión del puesto

En el equipo de Growth somos responsables de habilitar el crecimiento sostenible del negocio. Para lograrlo:

1. Monitoreamos indicadores clave de rendimiento.

2. Detectamos oportunidades de optimización en la operación.

3. Diseñamos e implementamos estrategias alineadas con los objetivos estratégicos de la compañía.

Como Marketplace Pricing & Revenue Analyst, tu reto será garantizar que nuestro marketplace genere el máximo valor para pasajeros y conductores, mediante decisiones estratégicas sobre precios, asignación de viajes, incentivos y otras palancas clave para equilibrar oferta y demanda.

🚀 ¿Cómo contribuirás a nuestra misión?

• Identificando oportunidades para maximizar el valor en el Marketplace, tanto en el corto como en el largo plazo.

• Alineando cada iniciativa con la estrategia global del negocio.

• Usando tu capacidad analítica para detectar insights clave y transformarlos en acciones de alto impacto.

• Colaborando con múltiples equipos y stakeholders para asegurar una correcta implementación de las estrategias diseñadas.

🧩 Lo que necesitamos de ti

• Mentalidad analítica: estructurada, orientada al detalle y proactiva.

• Visión de negocio: capacidad para conectar análisis técnicos con resultados tangibles.

• Experiencia con herramientas de visualización de datos (preferiblemente Tableau).

• Valorable conocimiento en Python, R o SQL para análisis avanzados y manipulación de datos.

• Capacidad de comunicación efectiva para influir en decisiones clave y generar impacto.

💜 Lo que ofrecemos

Queremos que disfrutes el viaje con nosotros, por eso te ofrecemos:

• 📝 Contrato indefinido y salario competitivo.

• 🔋 Recharge Day para descansar y recargar energía.

• 🌍 Horario flexible y modelo híbrido de trabajo.

• 🚖 Crédito mensual para usar en nuestra app.

• 💰 Planes de retribución flexible adaptados a ti.

• 🎟️ Descuentos en restaurantes, tiendas y gimnasios.

• 🐶 Oficina pet-friendly (¡sí, puedes traer a tu peludo 🐾!).

• 🖥️ Equipo de trabajo completo para potenciar tu talento.

👉 ¿Te imaginas formando parte de un equipo que está transformando la movilidad en las ciudades? ¡Queremos conocerte!

About the opportunity

We are seeking a Manager Risk Controlling to help us further develop and strengthen our Risk Controlling function with a focus on steering interest rate risk in the banking book. 

As part of the ICAAP Methodology & Analytics team, you will be supporting with model development, implementation and data analysis for risk controlling, with a focus on Pillar II and interest rate risk in the banking book. You will contribute to assessing, controlling, and reporting N26’s risks while ensuring effective collaboration across various teams and stakeholders.

At N26, we are redefining banking through technology and innovation. As Manager Market Risk, you will have the opportunity to shape the future of risk management in a fast-paced, forward-thinking environment. Join us and be part of a team that values collaboration, innovation, and excellence.

In this role, you will:

• Contribute to the development, implementation and maintenance of advanced risk measurement methodologies specifically for Interest Rate Risk in the Banking Book (IRRBB) and Credit Spread Risk in the Banking Book, including metrics like EVE (Economic Value of Equity) and NII (Net Interest Income) sensitivity. Ensure full compliance with relevant regulatory requirements (e.g., MaRisk, EBA Guidelines on IRRBB and CSRBB).
• Lead the design, implementation and monitoring of pricing and valuation models for interest rate derivatives, including centrally cleared derivatives and swaptions.
• Establish and maintain the architectural design of risk limits for IRRBB and associated derivatives, providing expert advice on hedging strategies and their methodological impact.
• Spearhead cross-functional initiatives to improve the quality, governance, and lineage of core balance sheet and derivative data used in IRRBB, CSRBB and liquidity risk calculations.
• Ensure the development of a robust, audit-proof testing environment for all new methodology and code releases, establishing best-practice documentation.
• Act as the primary methodological expert and project lead for cross-functional, risk-related projects with significant IRR or derivative components (e.g., new product approvals, core banking system migrations, implementation of new hedging programs).
• Lead and coordinate interactions with internal and external auditors and regulators (e.g., EBA, national central banks) regarding the adequacy, compliance, and robustness of market risk methodologies and derivative valuation practices.

What you need to be successful:

Background: 

• Quantitative academic background: Master’s in statistics, mathematics, business/economics, or a similar field with a quantitative focus. Additional professional certification (e.g. CFA, FRM) is a plus.
• 5+ years of practical experience in an active risk controlling function with experience in IRRBB, CSRBB and interest rate derivatives from a regulated financial institution. Experience with repos, secured lending and other risk types is a strong plus.

Skills: 

• Knowledge of VaR and stress testing methodologies, with practical experience in model development, implementation, and governance, preferably with a focus on market risk.
• Solid understanding of the overall ICAAP and interest rate risk related KRIs. Experience with IDW RS BFA 3 and/or hedge accounting is a strong plus.
• Solid knowledge of European and/or German regulations (e.g. EBA Guidelines, MaRisk) and experience dealing with (external) audits is a strong plus.
• Strong proficiency in SQL and Python for quantitative analysis.
• Strong analytical and quantitative skills, with the ability to independently generate actionable insights from complex data.
• Previous experience with independent price verification processes and related requirements is a strong plus.
• Experience with data governance and data quality management processes is a strong plus.
• Fluent English (German is a plus).

What’s in it for you:

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

Who we are

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

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

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

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. 

Visit our website to learn more about Diversity, Equity, & Inclusion at N26.

About the opportunity

We are seeking a Manager Risk Controlling to help us further develop and strengthen our Risk Controlling function with a focus on steering interest rate risk in the banking book. 

As part of the ICAAP Methodology & Analytics team, you will be supporting with model development, implementation and data analysis for risk controlling, with a focus on Pillar II and interest rate risk in the banking book. You will contribute to assessing, controlling, and reporting N26’s risks while ensuring effective collaboration across various teams and stakeholders.

At N26, we are redefining banking through technology and innovation. As Manager Market Risk, you will have the opportunity to shape the future of risk management in a fast-paced, forward-thinking environment. Join us and be part of a team that values collaboration, innovation, and excellence.

In this role, you will:

• Contribute to the development, implementation and maintenance of advanced risk measurement methodologies specifically for Interest Rate Risk in the Banking Book (IRRBB) and Credit Spread Risk in the Banking Book, including metrics like EVE (Economic Value of Equity) and NII (Net Interest Income) sensitivity. Ensure full compliance with relevant regulatory requirements (e.g., MaRisk, EBA Guidelines on IRRBB and CSRBB).
• Lead the design, implementation and monitoring of pricing and valuation models for interest rate derivatives, including centrally cleared derivatives and swaptions.
• Establish and maintain the architectural design of risk limits for IRRBB and associated derivatives, providing expert advice on hedging strategies and their methodological impact.
• Spearhead cross-functional initiatives to improve the quality, governance, and lineage of core balance sheet and derivative data used in IRRBB, CSRBB and liquidity risk calculations.
• Ensure the development of a robust, audit-proof testing environment for all new methodology and code releases, establishing best-practice documentation.
• Act as the primary methodological expert and project lead for cross-functional, risk-related projects with significant IRR or derivative components (e.g., new product approvals, core banking system migrations, implementation of new hedging programs).
• Lead and coordinate interactions with internal and external auditors and regulators (e.g., EBA, national central banks) regarding the adequacy, compliance, and robustness of market risk methodologies and derivative valuation practices.

What you need to be successful:

Background: 

• Quantitative academic background: Master’s in statistics, mathematics, business/economics, or a similar field with a quantitative focus. Additional professional certification (e.g. CFA, FRM) is a plus.
• 5+ years of practical experience in an active risk controlling function with experience in IRRBB, CSRBB and interest rate derivatives from a regulated financial institution. Experience with repos, secured lending and other risk types is a strong plus.

Skills: 

• Knowledge of VaR and stress testing methodologies, with practical experience in model development, implementation, and governance, preferably with a focus on market risk.
• Solid understanding of the overall ICAAP and interest rate risk related KRIs. Experience with IDW RS BFA 3 and/or hedge accounting is a strong plus.
• Solid knowledge of European and/or German regulations (e.g. EBA Guidelines, MaRisk) and experience dealing with (external) audits is a strong plus.
• Strong proficiency in SQL and Python for quantitative analysis.
• Strong analytical and quantitative skills, with the ability to independently generate actionable insights from complex data.
• Previous experience with independent price verification processes and related requirements is a strong plus.
• Experience with data governance and data quality management processes is a strong plus.
• Fluent English (German is a plus).

What’s in it for you:

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

Who we are

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

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

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

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. 

Visit our website to learn more about Diversity, Equity, & Inclusion at N26.

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

We are looking for a Mid-Level Data Engineer to join our Revenue Operations team, responsible for building, scaling, and maintaining data pipelines that support strategic revenue decisions.

This role plays a key part in connecting data across Marketing, Sales, Customer Success, and Finance, ensuring high data quality, reliability, and availability.

The position requires on-site presence in Madrid, with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.

Responsibilities

1. Data Engineering (Core)

• Design, build, and maintain scalable and reliable data pipelines (ETL/ELT).
• Develop and optimize analytical data models (bronze, silver, and gold layers).
• Ensure data quality, governance, and consistency.
• Monitor pipelines, proactively identify bottlenecks, and resolve failures.
• Work with large volumes of structured and semi-structured data.
  
  

2. Revenue Operations

• Integrate data from multiple sources, including:
• CRM systems (e.g., HubSpot)
• Marketing platforms
• Financial and billing systems (SAP)
• Product data sources
  
  
• Build datasets to support analysis of:
• Sales funnel and pipeline
• Revenue forecasting
• Recurring revenue (MRR, ARR)
• Churn, retention, and expansion
• Performance metrics for SDRs, AEs, and CSMs
  
  
• Support the development of strategic KPIs and metrics for leadership and C-level stakeholders.
• Partner closely with data analysts, RevOps, and business teams.
  
  

3. Technology & Tools

• Use Databricks for data processing, transformation, and orchestration.
• Work extensively with advanced SQL and Python.
• Leverage the Google ecosystem, including:
• BigQuery
• Google Cloud Storage
• Google Sheets (automation and integrations)
• Enable BI tools and dashboards (e.g., Looker, Power BI, Tableau).
  
  

4. Collaboration & Environment

• Collaborate closely with business teams, translating requirements into technical solutions.
• Participate actively in agile ceremonies (planning, daily stand-ups, reviews).
• Thrive in a dynamic, high-growth, and fast-changing environment.
• Continuously propose improvements in architecture, processes, and performance.

 Requirements

• Proven experience as a Mid-Level Data Engineer.
• Strong expertise in SQL (data modeling and performance optimization).
• Solid experience with Python for data engineering.
• Hands-on experience with Databricks.
• Experience with Google Cloud Platform (BigQuery, GCS).
• Previous experience in Revenue Operations, Sales, or Finance.
• Knowledge of SaaS metrics (MRR, ARR, LTV, CAC, churn).
• Strong understanding of:
• ETL / ELT processes
• Data Warehousing and Data Lakes
• Dimensional data modeling
• Experience with version control systems (Git).

Nice to Have

• Experience with BI tools.
• International work experience.
• Fluence in Spanish.
• Advanced English it's good.

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

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

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

Your responsibilities will include:

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

We expect you to have:

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

Our ideal candidate would also have:

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

What we offer:

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

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

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

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

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 

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

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

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

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

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

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

About the Role

At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.

As an Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.

What You’ll Do

• Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
• Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
• Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
• Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
• Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
• Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
• Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
• Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
• A collaborative mindset: comfortable working with both engineers and business stakeholders.
• Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
• A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
• Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
• Hands-on experience with DBT (or similar transformation frameworks).
• Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
• Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Experience with BI tools (Metabase, Superset, Tableau, etc.).
• Understanding of data quality, governance, and observability practices.
  
  

Nice to Have

• Experience in a federated or data mesh environment.
• Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
• Exposure to analytics in domains like marketing, CRM, or B2B reporting.
• Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
• Stock options
• Responsibility from day one and professional and personal growth
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow

Interview Process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview
• Technical Interview (90')
• Manager Interview

The Role

We're looking for a Lead AI Engineer to drive Fever's company-wide AI transformation. This is a high-impact role for someone who can build and lead small, high-performance specialist teams that ship AI initiatives across large business domains — from business development and creative production to investment decisions, operations, and customer experience.

Your focus is applying AI to transform how the business operates. You'll stay at the cutting edge of AI technology being developed around the world and translate it into practical, high-leverage applications inside Fever — automating workflows, augmenting decision-making, and unlocking capabilities that weren't possible before. You'll partner with senior leaders across the company to identify the highest-leverage opportunities, assemble the right squad to tackle them, and deliver production-grade AI products that change how Fever operates at scale.

This role combines deep technical excellence, hands-on system design, team leadership, and strategic stakeholder management. You'll set the bar for what AI engineering looks like at Fever and shape how the company adopts AI across every function.

What you'll do

• Lead Fever's AI transformation across multiple business domains, identifying where AI can unlock the largest impact and shaping the roadmap to get there.
• Build and lead small, high-performance specialist teams — embedding with business stakeholders to ship AI products end-to-end, from problem framing to production.
• Design and ship advanced AI systems combining LLMs, agents, retrieval, and orchestration layers, optimized for real business outcomes rather than benchmarks — including high-volume, low-latency production workflows.
• Define best practices for AI engineering at Fever: evaluation, observability, cost control, prompt and model governance, safety, and long-term maintainability.
• Hire, mentor, and grow AI engineers, fostering a culture of ownership, craftsmanship, and high velocity.
• Act as a trusted advisor to senior leadership across business domains, translating AI capabilities into concrete strategy and managing expectations on what's feasible, when, and at what cost.

What we're looking for

• Strong software engineering foundations with hands-on experience in Python, building scalable production systems (event-driven architectures, microservices, APIs, databases).
• Deep, hands-on experience designing and shipping AI systems in production — LLM applications, agentic workflows, RAG, fine-tuning, or orchestration frameworks (LangGraph, LlamaIndex, DSPy, or similar) — ideally having delivered something similar at another company.
• Solid grasp of the modern AI stack: foundation model APIs (OpenAI, Anthropic, Google), vector databases, evaluation frameworks, prompt engineering, and inference optimization. Comfortable with AWS, Docker, Kubernetes, CI/CD, and observability tooling for AI workloads.
• Strong product sense and stakeholder management skills — ability to navigate ambiguity, prioritize ruthlessly for impact, and align engineering work with business goals.
• Track record of leading projects across multiple teams and of hiring, mentoring, and growing engineers.

Bonus points for

• Experience building agentic systems or AI-powered automation that replaces or augments human workflows at scale.
• Familiarity with the broader AI/ML platform ecosystem (LangSmith, Langfuse, Weights & Biases, MLFlow) and applied ML at scale (recommenders, ranking, search).
• Side projects, open-source contributions, or published work in applied AI.

The environment

• Product-driven, cloud-native (AWS), fast-moving team with direct line of sight to business impact.
• We care about code quality, performance, testability, evaluation rigor, and long-term maintainability.
• We hire builders: people who own systems end-to-end and turn ambiguity into shipped products.
• Leadership is hands-on and collaborative — setting the pace through initiative, example, and accountability.
• This role is based in our Madrid office. We work in a hybrid setup with strong in-person collaboration, so being on the ground in Madrid is essential for embedding with business teams across the company.

Benefits & Perks

• Responsibility from day one and professional and personal growth in one of the most exciting AI roles in the company.
• Opportunity to have a real impact in a high-growth global category leader.
• A compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options plan.
• 40% discount on all Fever events and experiences.
• Based in Madrid, with a home office friendly setup.
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English / Spanish lessons.
• Wellhub membership.
• Possibility to receive in advance part of your salary by Payflow.

Data Analyst - FCC Reporting

Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week

Ebury’s strategic growth plan would not be possible without our Data Analytics & Compliance team and we are seeking a Data Analyst to join our Regulatory FinCrime Compliance domain!

Our data mission is to enable effective risk detection, monitoring and regulatory compliance through robust data models, scalable analytics and high quality reporting. 

The team works closely with Compliance, Risk and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.

Projects range from building curated data models to cover global key risk indicators for financial crime compliance and automating into standardised board packs, to scaling our regulatory reporting engine to incorporate datasets specific to transaction monitoring, screening and client KYC.

As part of the team you will  

• Design and maintain data models and datasets used for transaction monitoring, customer risk scoring, and financial crime investigations.
• Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment. 
• Develop and optimise detection logic and monitoring rules (e.g. transaction monitoring scenarios, anomaly detection, behavioural patterns).
• Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
• Build dashboards and analytical tools (Looker / Looker Studio or similar) for monitoring risk exposure, alerts, and investigation pipelines.
• Support regulatory and internal audits, providing traceability of data, methodologies, and controls.
• Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).

What we’re looking for 

• 2-4 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services.
• Advanced SQL skills – able to read and write queries across complex datasets.
• Experience with our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Looker / Looker Studio, Git.
• Experience building data pipelines, transformations, and analytical datasets.
• Solid understanding of financial crime frameworks.
• Experience working with Python is desirable.
• Knowledge of payment flows, FX, or banking products is desirable.
• Strong analytical thinking with focus on data quality, controls, and risk interpretation.
• Experience working with transaction monitoring systems or alerting frameworks is a plus.
• Ability to translate regulatory and compliance requirements into data logic.
• Fluency in English (Spanish, a plus)

What Ebury offers you

• Competitive salary conditions
• Private health insurance, gympass and access to Meditopia
• Support to progress your career in the Data & Analytics world
• Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
• Flexible workplace environment (hybrid model, 4 days office / 1 day remote)
• 23 days of annual leave plus your birthday off and all the Málaga public holidays.
• Fun in-person off-sites and virtual get-togethers
• Personal development including language courses

#LI-JC1

#LI-HYBRID

Role Summary

As a Compliance Data Analyst at Payoneer, you will play a key role in supporting Compliance Office, Compliance Operations, and Compliance Strategy teams to support reporting, alert management, and performance measurement. teams with data-driven insights that influence strategic decisions. You will act as a strong data partner, working to provide accurate and actionable reporting to various stakeholders across the organization.ç

What You’ll Do

• Provide insights to stakeholders such as  Compliance Office, ML, Compliance Operations, and Compliance Strategy teams to support data-driven compliance decisions.
• Use SQL and Excel to analyze complex datasets and present findings clearly and effectively.
• Build dashboards and reports using BI tools to monitor compliance trends.
• Support strategic initiatives by ensuring data is accessible, consistent, and accurate.
• Handle multiple incoming data requests and break down complex problems into smaller, actionable tasks.
• Work cross-functionally with Product and Data teams to ensure alignment and consistency across compliance systems.

Who You Are

• You have 3+ years of experience in data analysis, preferably within compliance, fintech, financial services or risk.
• Proficient in SQL and Excel.
• Experience with BI tools such as Tableau or Power BI is a plus.
• Strong presentation and communication skills; able to explain technical insights to non-technical stakeholders.
• Excellent spoken and written English
• Proficiency in Python - An advantage!
• Experience leveraging AI to optimize processes, automate tasks, and drive better results - An advantage!

#LI-FD1