What are we looking for?

We are seeking a highly skilled and experienced Senior DevOps/Cloud Engineer/SRE with 7+ years of experience to become an integral part of our dynamic DevOps platform team. In this role, you will be instrumental in supporting cutting-edge AI SaaS and PaaS solutions.

Please note: This position may require participation in an on-call support rotation in the future.

Requirements

To be successful in this role, you should possess the following qualifications and skills:

Technical Skills:

• Education: A Bachelor's degree in Computer Science or a related field, or equivalent education and experience equating to the US equivalent of a bachelor’s degree.
• SDLC & CI/CD: 5+ years of experience with Software Development Lifecycle (SDLC) methodologies and CI/CD technologies, including hands-on expertise with at least two different CI/CD ecosystems. Optional: We also value experience with MLOps practices and their integration into CI/CD pipelines.
• Software Engineering: 3+ years of experience as a Software Engineer, with a preference for backend development experience. Nice to have: Experience with Temporal workflows.
• Networking & Operating Systems: Strong knowledge of networking principles and robust experience with Operating System concepts, backed by 5+ years of hands-on Linux administration.
• Cloud Platforms: 5+ years of in-depth experience with AWS (highly preferred) and/or GCP. Highly desired to have certifications in AWS or GCP.
• Infrastructure as Code (IaC): 5+ years of experience with IaC tools, primarily Terraform.
• Kubernetes: 5+ years of experience managing Kubernetes clusters, including practical experience with at least one cloud-managed service (e.g., EKS, GKE, AKS).
• Database Management: Strong experience with PostgreSQL.
• Troubleshooting: Proven ability to effectively troubleshoot issues across code, cloud infrastructure, networks, and operating systems.

Observability: 5+ years of experience working with observability tools, defining SLOs, designing alerts, dashboards and escalation chains.

• AI-Specific Technologies (Preferred): Given our focus on AI solutions, experience with MLOps, Nvidia NIM and relevant Nvidia certifications would be a significant asset.

Essential Non-Technical Skills:

• Requirements Elicitation: Ability to effectively gather and understand project requirements.
• Collaboration & Resilience: A highly collaborative team player with a resilient and proactive mindset.
• Organisational & Communication Skills: Self-organiSed with the ability to structure discussions effectively, ensuring focus and clarity.
• Documentation: Meticulous and thorough in creating clear, comprehensive documentation.
• Problem Solving: Adept at breaking down complex problems into manageable sub-tasks and defining actionable next steps.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

#LI-FP1

Secure Every Identity, from AI to Human

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

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

The Emerging Products Design Team

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

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

What you’ll be doing

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

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

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

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

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

What you’ll bring to the role

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

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

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

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

Note for when applying

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

#LI-AR

#LI-hybrid

P24609_3424944

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

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

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

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

In this role, you will:

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

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

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

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

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!

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 building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

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: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience 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 classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

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).

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

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

As part of our team, you will:

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

Requirements:

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

You’ll be great for our team if you:

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

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI 

About the Role

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

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

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

Responsibilities:

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

You may be a good fit if you:

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

Strong candidates may also:

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

Why job seekers choose Geotab:

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

The role

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

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

This position is onsite in Madrid, Spain.

Your responsibilities will include: 

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

We expect you to have: 

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

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

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

The Role

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

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

Your responsibilities will include

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

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

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

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

• Oversee proactive maintenance, troubleshooting, and problem management activities

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

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

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

We Expect You to Have

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

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

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

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

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

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

• Analytical skills

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

• High proficiency in spoken and written English.

It will be an added bonus of you have: 

• Relevant certifications and trainings

The role 

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

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

Talent Acquisition Operations Specialist (Global)

About the Role

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

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

What You’ll Do

TA Operations & Process Support

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

Systems, Tools & Technology

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

Stakeholder Collaboration & Change Management

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

Data, Reporting & Insights

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

Enablement & Support

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

What You Bring

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

The role

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

Your responsibilities will include: 

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

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

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

• Manage and maintain fiber optic and patch cable connectivity.

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

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

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

Requirements:

• Solid understanding of server and networking equipment.

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

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

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

It will be an added bonus if you have:

• Valid Category B driving license.

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

The team

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

The role

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

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

Your responsibilities will include: 

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

We expect you to have: 

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

It will be an added bonus if you have: 

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

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

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

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

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)

(Senior) Product Manager - Name & Payment Screening

Product - FinCrime

Ebury Malaga Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

At Ebury, screening is a core control that enables safe, scalable access to global financial services. As we expand across new products, verticals, and payment rails, we are evolving our name screening and payment screening capabilities to be more automated, intelligent, and precise.

We are looking for a Product Manager / Senior Product Manager to join our Financial Crime Intelligence Product domain, owning Name Screening and Payment Screening across customers, counterparties, and transactions as a domain lead.

You will own the Screening product area, working at the intersection of First Line, Compliance, Engineering and Data.

Your focus will be on vendor integrations, list / matching logic / fuzziness optimisations and AI-driven false-positive reduction considering different product and business vertical compliance frameworks.

This role reports to the Head of Financial Crime Intelligence Product.

What You’ll Do

Product Ownership

• Own the Name Screening & Payment Screening product area across customer onboarding, ongoing monitoring and transactions for clients and counterparties.
• Define the strategy for your area, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction.
• Translate these into a clear, actionable roadmap across:
  - fiat to fiat transactions
  - fiat to crypto transactions (mainly stablecoins)
  - crypto to crypto transactions
  - card spends
• Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite.
• Use data and research to identify pain points, improve fuzziness scores.
• Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression and de-duplication strategies.

Stakeholder management

• Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready.
• Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Support regulatory reviews and audits with strong product narratives.

Delivery & execution

• Translate regulatory and risk requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations, event schemas, data models, and system performance and scalability.

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years working on Screening products.
• Strong understanding of name screening and payment screening, sanctions and watchlist screening concepts, matching logic, fuzziness, and thresholds.
• Experience with third-party screening vendors in regulated financial services environments.
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  -(nice to have) Bachelor's degree in Engineering, or a related technical field.
  -(nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Screening controls that scale across products, volumes, and geographies.
• Measurable reduction in false positives without increased regulatory risk.
• High-integrity screening trusted by regulators.
• Improved customer experience through smarter, automated screening

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Malaga Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn 

#LI-GC2

#LI-HYBRID

(Senior) Product Manager - Name & Payment Screening

Product - FinCrime

Ebury Madrid Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

At Ebury, screening is a core control that enables safe, scalable access to global financial services. As we expand across new products, verticals, and payment rails, we are evolving our name screening and payment screening capabilities to be more automated, intelligent, and precise.

We are looking for a Product Manager / Senior Product Manager to join our Financial Crime Intelligence Product domain, owning Name Screening and Payment Screening across customers, counterparties, and transactions as a domain lead.

You will own the Screening product area, working at the intersection of First Line, Compliance, Engineering and Data.

Your focus will be on vendor integrations, list / matching logic / fuzziness optimisations and AI-driven false-positive reduction considering different product and business vertical compliance frameworks.

This role reports to the Head of Financial Crime Intelligence Product.

What You’ll Do

Product Ownership

• Own the Name Screening & Payment Screening product area across customer onboarding, ongoing monitoring and transactions for clients and counterparties.
• Define the strategy for your area, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction.
• Translate these into a clear, actionable roadmap across:
  - fiat to fiat transactions
  - fiat to crypto transactions (mainly stablecoins)
  - crypto to crypto transactions
  - card spends
• Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite.
• Use data and research to identify pain points, improve fuzziness scores.
• Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression and de-duplication strategies.

Stakeholder management

• Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready.
• Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Support regulatory reviews and audits with strong product narratives.

Delivery & execution

• Translate regulatory and risk requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations, event schemas, data models, and system performance and scalability.

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years working on Screening products.
• Strong understanding of name screening and payment screening, sanctions and watchlist screening concepts, matching logic, fuzziness, and thresholds.
• Experience with third-party screening vendors in regulated financial services environments.
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  -(nice to have) Bachelor's degree in Engineering, or a related technical field.
  -(nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Screening controls that scale across products, volumes, and geographies.
• Measurable reduction in false positives without increased regulatory risk.
• High-integrity screening trusted by regulators.
• Improved customer experience through smarter, automated screening

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Madrid Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn 

#LI-GC2

#LI-HYBRID

(Senior) Product Manager - Name & Payment Screening

Product - FinCrime

Ebury Leon Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

At Ebury, screening is a core control that enables safe, scalable access to global financial services. As we expand across new products, verticals, and payment rails, we are evolving our name screening and payment screening capabilities to be more automated, intelligent, and precise.

We are looking for a Product Manager / Senior Product Manager to join our Financial Crime Intelligence Product domain, owning Name Screening and Payment Screening across customers, counterparties, and transactions as a domain lead.

You will own the Screening product area, working at the intersection of First Line, Compliance, Engineering and Data.

Your focus will be on vendor integrations, list / matching logic / fuzziness optimisations and AI-driven false-positive reduction considering different product and business vertical compliance frameworks.

This role reports to the Head of Financial Crime Intelligence Product.

What You’ll Do

Product Ownership

• Own the Name Screening & Payment Screening product area across customer onboarding, ongoing monitoring and transactions for clients and counterparties.
• Define the strategy for your area, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction.
• Translate these into a clear, actionable roadmap across:
  - fiat to fiat transactions
  - fiat to crypto transactions (mainly stablecoins)
  - crypto to crypto transactions
  - card spends
• Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite.
• Use data and research to identify pain points, improve fuzziness scores.
• Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression and de-duplication strategies.

Stakeholder management

• Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready.
• Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Support regulatory reviews and audits with strong product narratives.

Delivery & execution

• Translate regulatory and risk requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations, event schemas, data models, and system performance and scalability.

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years working on Screening products.
• Strong understanding of name screening and payment screening, sanctions and watchlist screening concepts, matching logic, fuzziness, and thresholds.
• Experience with third-party screening vendors in regulated financial services environments.
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  -(nice to have) Bachelor's degree in Engineering, or a related technical field.
  -(nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Screening controls that scale across products, volumes, and geographies.
• Measurable reduction in false positives without increased regulatory risk.
• High-integrity screening trusted by regulators.
• Improved customer experience through smarter, automated screening

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Leon Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn 

#LI-GC2

#LI-HYBRID

Senior Product Manager (Anti Money Laundering/Transaction Monitoring)

Product - Financial Crime 

Ebury Leon Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

As we expand our capabilities across new verticals (i.e. embedded payments), new products (i.e. cards) and new payment rails (i.e. stablecoins ), Anti Money Laundering controls are becoming a more critical part of our product strategy.

We are looking for a Senior Product Manager to join our Financial Crime Intelligence Product domain, owning Transaction Monitoring across fiat, crypto, card and hybrid payment flows as a domain lead.

You will own the Transaction Monitoring product area, working at the intersection of First Line, Compliance, Engineering and Data.

Your focus will be on building scalable, regulator-ready controls while enabling growth across traditional and digital asset payment rails considering different product and business vertical compliance frameworks.

This role reports to the Head of Financial Crime Intelligence Product.

What You’ll Do

Product Ownership

• Balance growth vs risk trade-offs.
• Use data and research to identify pain points, investigate anomalies, and deliver optimisations.
• Define the strategy for your area, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction. 
• Translate these into a clear, actionable roadmap across:
  -fiat to fiat transactions
  -fiat to crypto transactions (mainly stablecoins)
  -crypto to crypto transactions
  -card spends
• Define and evolve Transaction Monitoring rules, scenarios, risk typologies and predictive AI models aligned with different compliance frameworks, taking into account Crypto Travel Rule requirements.
• Drive improvements in False positive reduction, Alert quality, Operational scalability.

Stakeholder management

• Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready.
• Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds
  (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Support regulatory reviews and audits with strong product narratives.

Delivery & execution

• Translate regulatory and AML requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations (e.g. blockchain analytics, travel rule), event schemas, transaction data models and system performance and scalability.

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years working on AML / Transaction Monitoring products.
• Hands-on exposure to crypto transaction monitoring (in particular Stablecoins) or VASP compliance.
• Experience with blockchain analytics tools (e.g. Chainalysis, TRM, Elliptic or similar).
• Experience with travel rule tools (e.g. Notabene, Sumsub  or similar).
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  (nice to have) Bachelor's degree in Engineering, or a related technical field.
  (nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Transaction Monitoring that scales across new products, verticals and rails.
• Measurable reduction in false positives without increased regulatory risk.
• Predictive models trusted by Compliance and regulators.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Leon Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

Senior Product Manager (Anti Money Laundering/Transaction Monitoring)

Product - Financial Crime 

Ebury Malaga Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

As we expand our capabilities across new verticals (i.e. embedded payments), new products (i.e. cards) and new payment rails (i.e. stablecoins ), Anti Money Laundering controls are becoming a more critical part of our product strategy.

We are looking for a Senior Product Manager to join our Financial Crime Intelligence Product domain, owning Transaction Monitoring across fiat, crypto, card and hybrid payment flows as a domain lead.

You will own the Transaction Monitoring product area, working at the intersection of First Line, Compliance, Engineering and Data.

Your focus will be on building scalable, regulator-ready controls while enabling growth across traditional and digital asset payment rails considering different product and business vertical compliance frameworks.

This role reports to the Head of Financial Crime Intelligence Product.

What You’ll Do

Product Ownership

• Balance growth vs risk trade-offs.
• Use data and research to identify pain points, investigate anomalies, and deliver optimisations.
• Define the strategy for your area, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction. 
• Translate these into a clear, actionable roadmap across:
  -fiat to fiat transactions
  -fiat to crypto transactions (mainly stablecoins)
  -crypto to crypto transactions
  -card spends
• Define and evolve Transaction Monitoring rules, scenarios, risk typologies and predictive AI models aligned with different compliance frameworks, taking into account Crypto Travel Rule requirements.
• Drive improvements in False positive reduction, Alert quality, Operational scalability.

Stakeholder management

• Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready.
• Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds
  (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Support regulatory reviews and audits with strong product narratives.

Delivery & execution

• Translate regulatory and AML requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations (e.g. blockchain analytics, travel rule), event schemas, transaction data models and system performance and scalability.

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years working on AML / Transaction Monitoring products.
• Hands-on exposure to crypto transaction monitoring (in particular Stablecoins) or VASP compliance.
• Experience with blockchain analytics tools (e.g. Chainalysis, TRM, Elliptic or similar).
• Experience with travel rule tools (e.g. Notabene, Sumsub  or similar).
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  (nice to have) Bachelor's degree in Engineering, or a related technical field.
  (nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Transaction Monitoring that scales across new products, verticals and rails.
• Measurable reduction in false positives without increased regulatory risk.
• Predictive models trusted by Compliance and regulators.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Malaga Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

Senior Product Manager (Anti Money Laundering/Transaction Monitoring)

Product - Financial Crime 

Ebury Madrid Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

As we expand our capabilities across new verticals (i.e. embedded payments), new products (i.e. cards) and new payment rails (i.e. stablecoins ), Anti Money Laundering controls are becoming a more critical part of our product strategy.

We are looking for a Senior Product Manager to join our Financial Crime Intelligence Product domain, owning Transaction Monitoring across fiat, crypto, card and hybrid payment flows as a domain lead.

You will own the Transaction Monitoring product area, working at the intersection of First Line, Compliance, Engineering and Data.

Your focus will be on building scalable, regulator-ready controls while enabling growth across traditional and digital asset payment rails considering different product and business vertical compliance frameworks.

This role reports to the Head of Financial Crime Intelligence Product.

What You’ll Do

Product Ownership

• Balance growth vs risk trade-offs.
• Use data and research to identify pain points, investigate anomalies, and deliver optimisations.
• Define the strategy for your area, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction. 
• Translate these into a clear, actionable roadmap across:
  -fiat to fiat transactions
  -fiat to crypto transactions (mainly stablecoins)
  -crypto to crypto transactions
  -card spends
• Define and evolve Transaction Monitoring rules, scenarios, risk typologies and predictive AI models aligned with different compliance frameworks, taking into account Crypto Travel Rule requirements.
• Drive improvements in False positive reduction, Alert quality, Operational scalability.

Stakeholder management

• Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready.
• Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds
  (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Support regulatory reviews and audits with strong product narratives.

Delivery & execution

• Translate regulatory and AML requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations (e.g. blockchain analytics, travel rule), event schemas, transaction data models and system performance and scalability.

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years working on AML / Transaction Monitoring products.
• Hands-on exposure to crypto transaction monitoring (in particular Stablecoins) or VASP compliance.
• Experience with blockchain analytics tools (e.g. Chainalysis, TRM, Elliptic or similar).
• Experience with travel rule tools (e.g. Notabene, Sumsub  or similar).
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  (nice to have) Bachelor's degree in Engineering, or a related technical field.
  (nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Transaction Monitoring that scales across new products, verticals and rails.
• Measurable reduction in false positives without increased regulatory risk.
• Predictive models trusted by Compliance and regulators.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Madrid Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

Senior Product Manager - Fraud Prevention

Product - Financial Crime

Ebury Leon Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

Fraud moves faster than AML; stop fraud before money leaves.
We're looking for a product lead to rethink, design and implement best-in-class, customer-centric fraud controls for our products and processes at Ebury. In this critical role, you will be instrumental in safeguarding our customers and assets by developing and executing a comprehensive product strategy to combat evolving fraud threats across our diverse range of financial products and jurisdictions.

As we expand our capabilities across new verticals (i.e. embedded payments), new products (i.e. cards) and new payment rails (i.e. stablecoins ), tackling fraud is becoming a critical part of our strategy.

You will be working closely with Operations, Compliance, Engineering, Data and Security teams.

This is a unique opportunity to make a significant impact on our security posture, drive innovation, and work at the forefront of fraud prevention. This role is ideal for someone passionate about staying ahead of trends, adapting quickly to changing regulations and emerging fraud patterns.

This role reports to the Head of Financial Crime Intelligence Product.

What you’ll do

Product Ownership

• Conduct in-depth research and analysis of emerging fraud trends, attacker methodologies, and industry best practices in B2B & B2C fraud prevention.
• Be proactive and unearth vulnerabilities to pinpoint where the fraudster might strike. Balance growth vs risk trade-offs; design products/features that improve security across Ebury.
• Formulate and drive a fraud tackling focused product strategy, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction.
• Own fraud controls across transactional fraud, document fraud, and behavioural anomalies.
• Detect abnormal user behaviour across onboarding, authentication, and payment journeys.
• Translate the control gaps or breaches into a clear, actionable roadmap, ensuring timely and effective delivery across:
  - fiat to fiat transactions
  - fiat to crypto transactions (mainly stablecoins)
  - crypto to crypto transactions, card spends, internal processes and customer journeys

Stakeholder management

• Partner with operational and compliance teams to ensure controls are effective.
• Partner with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Collaborate with Security teams on: account compromise, abuse patterns and attacker tooling and signals.

Delivery & execution

• Design real-time and pre-authorisation fraud controls to prevent losses before execution.
• Define step-up, blocking, and friction strategies based on risk signals.
• Translate regulatory and risk requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations, event schemas, transaction & customer data models and system performance and scalability

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years developing Anti-Fraud products.
• Domain expertise in an area such as card fraud or transfer/payment fraud.
• Experience managing AI products (nice to have), customer-facing products, and back office systems.
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  (nice to have) Bachelor's degree in Engineering, or a related technical field.
  (nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Fraud tackling that scales across new products, verticals and rails.
• Measurable reduction in fraud losses and false positives without undue customer friction or regulatory risk
• Predictive models trusted by compliance and regulators.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Leon Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

Senior Product Manager - Fraud Prevention

Product - Financial Crime

Ebury Malaga Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

Fraud moves faster than AML; stop fraud before money leaves.
We're looking for a product lead to rethink, design and implement best-in-class, customer-centric fraud controls for our products and processes at Ebury. In this critical role, you will be instrumental in safeguarding our customers and assets by developing and executing a comprehensive product strategy to combat evolving fraud threats across our diverse range of financial products and jurisdictions.

As we expand our capabilities across new verticals (i.e. embedded payments), new products (i.e. cards) and new payment rails (i.e. stablecoins ), tackling fraud is becoming a critical part of our strategy.

You will be working closely with Operations, Compliance, Engineering, Data and Security teams.

This is a unique opportunity to make a significant impact on our security posture, drive innovation, and work at the forefront of fraud prevention. This role is ideal for someone passionate about staying ahead of trends, adapting quickly to changing regulations and emerging fraud patterns.

This role reports to the Head of Financial Crime Intelligence Product.

What you’ll do

Product Ownership

• Conduct in-depth research and analysis of emerging fraud trends, attacker methodologies, and industry best practices in B2B & B2C fraud prevention.
• Be proactive and unearth vulnerabilities to pinpoint where the fraudster might strike. Balance growth vs risk trade-offs; design products/features that improve security across Ebury.
• Formulate and drive a fraud tackling focused product strategy, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction.
• Own fraud controls across transactional fraud, document fraud, and behavioural anomalies.
• Detect abnormal user behaviour across onboarding, authentication, and payment journeys.
• Translate the control gaps or breaches into a clear, actionable roadmap, ensuring timely and effective delivery across:
  - fiat to fiat transactions
  - fiat to crypto transactions (mainly stablecoins)
  - crypto to crypto transactions, card spends, internal processes and customer journeys

Stakeholder management

• Partner with operational and compliance teams to ensure controls are effective.
• Partner with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Collaborate with Security teams on: account compromise, abuse patterns and attacker tooling and signals.

Delivery & execution

• Design real-time and pre-authorisation fraud controls to prevent losses before execution.
• Define step-up, blocking, and friction strategies based on risk signals.
• Translate regulatory and risk requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations, event schemas, transaction & customer data models and system performance and scalability

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years developing Anti-Fraud products.
• Domain expertise in an area such as card fraud or transfer/payment fraud.
• Experience managing AI products (nice to have), customer-facing products, and back office systems.
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  (nice to have) Bachelor's degree in Engineering, or a related technical field.
  (nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Fraud tackling that scales across new products, verticals and rails.
• Measurable reduction in fraud losses and false positives without undue customer friction or regulatory risk
• Predictive models trusted by compliance and regulators.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Malaga Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

Senior Product Manager - Fraud Prevention

Product - Financial Crime

Ebury Madrid Office - Hybrid: 4 days in the office, 1 day working from home per week

About the role

Fraud moves faster than AML; stop fraud before money leaves.
We're looking for a product lead to rethink, design and implement best-in-class, customer-centric fraud controls for our products and processes at Ebury. In this critical role, you will be instrumental in safeguarding our customers and assets by developing and executing a comprehensive product strategy to combat evolving fraud threats across our diverse range of financial products and jurisdictions.

As we expand our capabilities across new verticals (i.e. embedded payments), new products (i.e. cards) and new payment rails (i.e. stablecoins ), tackling fraud is becoming a critical part of our strategy.

You will be working closely with Operations, Compliance, Engineering, Data and Security teams.

This is a unique opportunity to make a significant impact on our security posture, drive innovation, and work at the forefront of fraud prevention. This role is ideal for someone passionate about staying ahead of trends, adapting quickly to changing regulations and emerging fraud patterns.

This role reports to the Head of Financial Crime Intelligence Product.

What you’ll do

Product Ownership

• Conduct in-depth research and analysis of emerging fraud trends, attacker methodologies, and industry best practices in B2B & B2C fraud prevention.
• Be proactive and unearth vulnerabilities to pinpoint where the fraudster might strike. Balance growth vs risk trade-offs; design products/features that improve security across Ebury.
• Formulate and drive a fraud tackling focused product strategy, ensuring alignment with overall Financial Crime Intelligence Product domain goals and company direction.
• Own fraud controls across transactional fraud, document fraud, and behavioural anomalies.
• Detect abnormal user behaviour across onboarding, authentication, and payment journeys.
• Translate the control gaps or breaches into a clear, actionable roadmap, ensuring timely and effective delivery across:
  - fiat to fiat transactions
  - fiat to crypto transactions (mainly stablecoins)
  - crypto to crypto transactions, card spends, internal processes and customer journeys

Stakeholder management

• Partner with operational and compliance teams to ensure controls are effective.
• Partner with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models, but you must understand how predictive models behave in production).
• Collaborate with Security teams on: account compromise, abuse patterns and attacker tooling and signals.

Delivery & execution

• Design real-time and pre-authorisation fraud controls to prevent losses before execution.
• Define step-up, blocking, and friction strategies based on risk signals.
• Translate regulatory and risk requirements into clear product requirements.
• Work closely with Engineering on managing vendor integrations, event schemas, transaction & customer data models and system performance and scalability

What we’re looking for

• Previous experience in fintech, crypto, payments, regulated financial services.
• 4+ years’ experience as a Product Manager.
• 2+ years developing Anti-Fraud products.
• Domain expertise in an area such as card fraud or transfer/payment fraud.
• Experience managing AI products (nice to have), customer-facing products, and back office systems.
• Experience leading vendor evaluations, integrations, and performance management.
• Analytical thinking and proficiency with system design discussions.
• Demonstrated ability to influence across functions and geographies to drive alignment and execution.
  (nice to have) Bachelor's degree in Engineering, or a related technical field.
  (nice to have) Experience building platforms that serve both B2B and B2B2C use cases.

What success looks like

• Fraud tackling that scales across new products, verticals and rails.
• Measurable reduction in fraud losses and false positives without undue customer friction or regulatory risk
• Predictive models trusted by compliance and regulators.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Madrid Office: A fantastic location with excellent transport links.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

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

What makes our staff passionate about Geotab?

What makes our staff passionate about Geotab?