Your Role

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

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

As a Senior Data Scientist, you’ll:

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

Must-Haves

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

Nice-to-Haves

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

Our Role 

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

Position Overview

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

Key Responsibilities:

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

Qualifications

Education:

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

Experience:

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

Preferred Qualifications:

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

Soft Skills:

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

Technology Stack:

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

Physical Requirements

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

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

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

What you’ll do:

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

What you'll need to be successful:

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

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

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

#LI-Remote

P17684_3303790

The Team

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

The Opportunity

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

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

What you’ll be doing 

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

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

What you’ll bring to the role

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

#LI-RB4

#LI-HYRBID

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

What you’ll do:

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

What you'll need to be successful:

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

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

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

#LI-Remote

P14337_3272114

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

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

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

What You Will Do

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

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

What We're Looking For

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

Bonus Points

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

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

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

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

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

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

What You Will Do

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

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

What We're Looking For

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

Bonus Points

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

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

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

📍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

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and real-world robustness.

You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.

You should apply if you

• Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.

• Have hands-on experience training and deploying RL-based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.

• Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.

• Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.

• Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.

• Are passionate about keeping up to date with current research and enjoy re-implementing and extending state-of-the-art papers.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• PhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).

• Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.

• Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.

• Familiarity with low-level motor control interfaces and real-time embedded systems constraints.

• Experience with online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions

• Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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

Location: Spain; Barcelona (Hybrid work model)

Experience: Senior 

Job Function: Engineering

Employment Type: Full-Time

Industry: Computer & Network Security

Job Summary

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

Job Responsibilities

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

Minimum Qualifications, Education, and Skills

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

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).

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

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

What are we looking for?

Education:

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

Required Experience (demonstrable and advanced):

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

Desired Experience:

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

Knowledge (Essential and Valuable):

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

Skills:

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

Languages:

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

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

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

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

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

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

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

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

What you will do

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

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

What you will do

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• 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.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩 

Wallapop generates billions of data points daily. With a mature data infrastructure already in place, our Data Science and Machine Learning area is gaining significant momentum. As we scale, we face the exciting challenge of taking our ML Platform to the next level to support complex solutions in Personalization, Search, Trust & Safety, and Logistics. As a Senior ML Engineer, you will lead the evolution of our ML Platform and MLOps practice. You will partner with Data Scientists, Data Engineers, and DevOps to shape a vision that balances innovation with reliability, ensuring our models scale efficiently to serve millions of users.

What You Will Do 👇

• Iterate and maintain Wallapop’s ML Platform, identifying opportunities to improve speed, reliability, and maintainability. You will define the long-term vision and roadmap for MLOps.
• Work hand-in-hand with Data Scientists to support their efforts, ensuring they have the tooling to develop, deploy, and monitor scalable models efficiently.
• Define and promote engineering best practices (coding standards, testing, CI/CD) within the ML domain.
• Partner with Data Engineering and DevOps to align ML development with company-wide infrastructure and data governance standards.
• Investigate and integrate new frameworks and tools (e.g., for LLMs or real-time inference) to keep our stack modern and effective.

What We’re Looking For 🔎

• Proven experience building and owning production-ready ML platforms and pipelines. You understand the full lifecycle from experimentation to monitoring.
• Deep understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes.
• Strong software engineering background with proficiency in Python, Git, and CI/CD workflows. You write robust, testable code.
• Experience with real-time ML architectures, leveraging tools like Kafka for low-latency ingestion and inference.
• Hands-on experience with vector databases or semantic search infrastructure (e.g., OpenSearch, Vertex AI), including indexing and retrieval tuning.
• Familiarity with the broader ML toolkit, such as orchestration/tracking tools (Flyte, MLFlow, Feast) and standard libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).
• Professional proficiency in English, with the ability to explain complex technical concepts to diverse stakeholders.

What Would Be A Plus 🚀

• Hands-on experience working with LLMs, RAG architectures, and libraries like LangChain or LlamaIndex.
• Familiarity with Big Data technologies like Spark or Beam.
• Experience with Data Engineering tools such as Airflow, dbt, or Datahub.
• Experience with other cloud platforms like GCP or Azure in addition to AWS.

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

• Intro Call - run by Talent Acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.
• Technical Task - you will be assigned a challenge to assess the technical skills required for the role.
• Expertise Interview - run by the core team, focusing on the hard skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
• Stakeholder Interview - run by the hiring team and relevant stakeholders, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
• Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
• Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us💫.

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

Our platform generates vast amounts of data. With a mature infrastructure already in place and a growing team, the opportunities to make a tangible impact are endless. As a Data Scientist, you will improve marketplace dynamics by working on end-to-end ML solutions—from data gathering and prototyping to deployment and iteration.

As a Data Scientist in the Wallapop you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as improving models that power users' main interaction point:  Search.  You will also look into various models that will help users discover new items through ranked Recommendations, Similar Items, and more.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop’s Data and ML Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.

What You Will Do👇

• Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
• Develop and implement machine learning models to solve business problems, such as personalized recommendations and search.
• Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
• Own initiatives from start to deployment:  ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration (w/ help from Engineering partners)
• Proactively suggest, research and prototype new ideas for data and ML solutions.
• Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.

What We’re Looking For 🔍

• Experience working with Search, recommendations & Ranking models in production environments

• Problem-Solving Core: A degree in a quantitative field (Engineering, Math, Stats, Physics) or equivalent practical experience in data science.

• Software Mindset: Proficiency in Python and the ability to write clean, maintainable code for ML applications.

• Production Experience: A proven track record of building and deploying data products that solve business challenges in a production environment.

• Data Fluency: Advanced SQL skills and experience handling large datasets (knowledge of libraries like Pandas or Scikit-learn is highly valued).

• Growth Orientation: A desire to learn new technologies and an ability to adapt your technical approach to the problem at hand.

• Algorithmic Foundation: Solid understanding of Machine Learning fundamentals, specifically as they apply to personalization or recommender systems (e.g., collaborative filtering, content-based filtering, or deep learning for embeddings).

What Would Be A Plus 🚀 

• Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
• Experience working within the Logistics, Trust & Safety or Customer Service domains.
• Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly product advantages (Wallapop Club)
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.

Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and technical skills required for the role.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes. 

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

At Blacklane, we are building the future of sustainable chauffeur-driven mobility. Our Marketplace team plays a crucial role in providing chauffeur partners with the right offers to help them fill their schedules and grow their businesses. We are seeking a Senior/Staff Product Manager to take ownership of this vital area, ensuring a seamless and optimized marketplace experience that supports our partners and guarantees guests a reliable and premium ride.

YOUR CHALLENGE:

As a Senior/Staff Product Manager for the Marketplace team, you will:

• Drive the strategy and execution of features that show tailored offers to our partners, allowing them to pick those that align with their preferences.
• Own and optimize the end-to-end partner experience in the marketplace, from offer creation to selection.
• Collaborate cross-functionally with engineering, data, and operations teams to deliver impactful product improvements.
• Develop data-driven insights to identify opportunities that enhance the efficiency of our partner scheduling process and ensure no guest requests go unmet.
• Prioritize the right projects that align with business goals, balancing partner needs with guest experience requirements.
• Maintain a strong understanding of partner behaviors and market dynamics to adjust the marketplace strategy and product roadmap.
• Act as the main liaison between partners, product, and the wider business to ensure the marketplace achieves its goals.

ABOUT YOU:

We’re looking for someone who brings:

• 5+ years of product management experience, at least 2 years as a Senior Product Manager.
• Proven success in managing end-to-end product lifecycles and launching data-driven product improvements.
• Strong analytical skills with a data-driven mindset.
• Excellent communication and stakeholder management skills, with the ability to articulate complex concepts to both technical and non-technical audiences.
• Experience working closely with engineering and design teams to deliver successful outcomes.
• You have worked directly with Data Science or Machine Learning Teams.
• A collaborative mindset and the ability to thrive in a fast-paced, agile environment.
• Bonus points if you have experience working with logistics, transportation, or B2B marketplace products.

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 (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)

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)

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)

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 (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 (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)

About Skyscanner 

Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily 💻. 

Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all 🌍. 

Our vision? To be the world's number one travel ally. (Ambitious? 💪 Yes, but, hey, that's what got us here.) 

About the role 

We’re looking for a Principal Product Manager – AI Platform to build and scale the internal developer platform that enables teams to ship AI-powered products faster. Your primary responsibility will be to improve how engineers build, test, and deploy products — by creating platform capabilities, tooling, and workflows that significantly increase developer velocity and reduce friction.

This is a hands-on, platform-focused role for a PM who loves thinking in systems, translating cutting-edge AI capabilities into smooth, secure, and joyful experiences for engineers, data scientists, and PMs alike. You’ll define the backbone of our AI ecosystem — ensuring our teams can safely build, test, and ship smarter, faster, and better. 

You can be based in Barcelona, Edinburgh or London, where we adopt a hybrid working policy of working in the office twice a week.

What you’ll be doing 

• Championing Developer Experience: Design platform capabilities that make experimentation, evaluation, and deployment of GenAI features frictionless — boosting productivity through measurable outcomes like DORA and Core4 metrics. 
• Driving AI Platform Strategy: Define the roadmap for Skyscanner’s GenAI platform, spanning infrastructure and tooling, developer productivity, and observability.
• Leading with Security and Governance: Partner with security, compliance, and data governance teams to ensure responsible AI usage, privacy, and policy adherence across our stack.
• Powering AI-Ready Knowledge: Help build and scale Skyscanner’s knowledge graph, retrieval systems, and evaluation frameworks for both internal and traveller-facing AI use cases.
• Enabling Measurable Impact: Define and track metrics for platform reliability, usability, and developer delight, ensuring innovation scales responsibly.
• Collaborating Across Disciplines: Work hand-in-hand with ML engineers, data scientists, and PMs to turn platform magic into traveller impact. 

About you 

• Deeply Technical PM: You understand the nuts and bolts of developer experience, and knows how to walk the walk with engineering partners

• Platform Thinker: You’re at home in developer-facing environments and have shipped products or tools that improved engineering velocity, or workflow quality. 

• ModelOps Fluent: You know what it takes to operationalise AI — including evaluation frameworks, reproducibility, model registries, and the practical realities of scaling. 

• Metrics-Driven: You’re obsessed with quantifying impact — familiar with DORA, Core4, and productivity metrics that help measure and improve developer experience. 

• Collaborative Influencer: You thrive on ambiguity, drive clarity through collaboration, and influence through trust and expertise (not org charts). 
• Curious Experimenter: You keep one foot in the future — exploring new AI tools, frameworks, and practices, always looking for the next edge. 

What it’s like here 

We are the real deal — no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier 🧭. 

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all ✨. 

Sound like your kind of adventure? 🚀 Apply now and help us shape the future of travel. 

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. 

Position Overview

We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.

As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.

What you'll do:

• Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
• Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
• Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
• Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.

What You Bring: 

• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
• Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
• Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
• Strong communication skills — you can explain complex data in simple, actionable terms
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• A team player, you establish effective relationships to work with others for the win
• Proven work experience in data analytics or data science roles 
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Position Overview

We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.

As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.

What you'll do:

• Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
• Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
• Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
• Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.

What You Bring: 

• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
• Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
• Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
• Strong communication skills — you can explain complex data in simple, actionable terms
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• A team player, you establish effective relationships to work with others for the win
• Proven work experience in data analytics or data science roles 
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

About Skyscanner

Everyone loves travelling, but planning is not without its challenges. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily.

Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all.

Our vision? To be the world's number one travel ally. (Ambitious? Yes, but, hey, that's what got us here.)

About the role
(Hybrid)

• Building smarter recommendation systems: You’ll join the team behind the ML systems that help millions of travellers find the right hotel or rental car — and you’ll keep raising the bar on relevance, quality, and performance.
• Owning the full journey: From fuzzy product questions to crisp modelling goals, you’ll run initiatives end-to-end: define what “good” looks like, build models, ship them, and iterate based on what the world tells us.
• Working where it matters: You’ll partner closely with Product and Engineering to get production systems into travellers’ hands (not just into notebooks).

What you’ll be doing

• Improving ranking & recommendations: You will design, build, and iterate on production ranking and recommendation systems across Hotels and Cars.
• Turning ambiguity into objectives: You will translate open-ended product challenges into clear modelling goals and hypotheses.
• Defining meaningful success: You will set success metrics that balance user value with marketplace and business outcomes.
• Running rigorous evaluation: You will design and analyse online experiments and offline evaluations to understand real impact.
• Applying statistical & causal reasoning: You will use strong statistical foundations (and causal thinking where it counts) to make confident, responsible decisions.
• Shipping with partners: You will work hand-in-hand with Product and Engineering to deploy, monitor, and improve systems in production.
• Communicating to influence: You will explain complex trade-offs clearly and help shape roadmap decisions with evidence.

About you

• Production-tested: You have 2+ years’ experience as a Data Scientist working in a production environment.
• Applied ML experience: You’ve worked on real-world machine learning or applied data science problems (bonus points if you have worked on ranking/recommender problems).
• Strong fundamentals: You bring solid foundations in statistics, machine learning, or quantitative analysis, and, you know when to use which tool.
• Hands-on with Python & SQL: You’re comfortable building in Python and querying data with SQL.
• Team-friendly engineer mindset: You’re familiar with collaborative development practices like version control and code review.
• Structured problem-solver: You can take an ambiguous problem, break it down methodically, and move it forward without needing a perfect brief.
• Thoughtful evaluator: You care about robust evaluation, including fairness and reliability considerations.

What it's like here

We are the real deal — no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans, building things that help travellers explore the world a little easier.

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better - and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all.

Sound like your kind of adventure? Apply now and help us shape the future of travel.

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.

Scopely is looking for a Senior Data Scientist to join our Monopoly GO! game team in our Barcelona hub on a hybrid basis, or remotely in Spain or Portugal.

At Scopely, we care deeply about what we do and want to inspire play, every day. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

What You Will Do 

As a Senior Data Scientist, you will play a key role in supporting game growth by leveraging data to build innovative, player-centric solutions. You won't just analyze data; you will own the lifecycle of data products — from identifying a player pain point to deploying a production-level solution.

• Product Vision & Strategy: Partner with Product Managers and Stakeholders to identify high-value opportunities, helping to define the data science roadmap for the one of the world’s biggest mobile games.
• End-to-End Ownership: Own the process of creating new data products, from initial inception and requirement gathering to technical design, productionalization, and monitoring.
• Player Insights: Analyze player behavior to understand how features impact the game economy, progression, social dynamics, and sentiment.
• Advanced Modeling: Design and implement A/B tests, forecasting, clustering, and ML models that don't just "predict," but provide actionable "decision intelligence."
• Technical Excellence: Provide technical expertise throughout the product life cycle, ensuring high quality, scalability, and efficiency in our Data & Insights team.
• Collaborative Delivery: Work across departments (Product Analytics, Engineering, LiveOps, Marketing) to ensure data solutions are integrated and driving real-world impact for our players.

What We’re Looking For

We want a creative, highly motivated individual who enjoys tackling ambiguous problems and "figuring it out" with practical, scalable solutions.

• Product Mindset: Outstanding problem-solving skills with a "user-first" mentality. You can conceptualize player behavior and determine the best metrics to measure success, even when data is messy or non-existent.
• Technical Stack: Advanced proficiency in Python and SQL. Experience with BI tools (Looker) and visualization libraries (Plotly, etc.).
• Data Engineering Savvy: Experience with data transformation at scale using dbt and Airflow.
• Production Experience: Proven track record of deploying data products to production (on GCS, AWS, or Azure) and implementing monitoring/alerting to ensure service quality.
• Scientific Rigor: Strong background in statistics, A/B testing methodology, and applying ML/AI to improve business understanding.
• Communication: Ability to translate complex methodologies into clear "so-whats" for non-technical stakeholders and business users.

Bonus Points

• Gaming Passion: A deep love for F2P mobile games and an understanding of game loops/economies.
• Specialized Knowledge: Familiarity with causal inference, Bayesian statistics, or MLOps platforms.
• Deep Learning & GenAI: Hands-on experience with LLMs, predictions using Transformers, or other Deep Learning architectures applied to behavioral data or content generation.

We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.

Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.

You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.

You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.

Responsibilities:

• Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.
• Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.
• Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.
• Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.
• Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.

Requirements:

• 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
• Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
• Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
• Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
• Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
• Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.
• Familiarity with real-time model inference systems and ensuring compatibility with downstream services.
• Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.
• Good understanding of Docker containers, Kubernetes, and basic networking concepts.
• Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).
• Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).
• Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.
• Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.
• Strong English communication skills.

Nice to have:

• Exposure to very high-load, low-latency ML inference environments.
• Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
• Familiarity with Databricks Asset Bundles.
• Understanding of ONNX or other portable model serialization formats.
• Ability to work with Rust programming language.
• Familiarity with transformer architectures, encoder-decoder models, or sequence modeling approaches.
• Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.
• Experience with MinIO or other S3-compatible storage systems.
• Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low-latency scenarios.
• Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).

This position supposes relocation to Barcelona and work from our office in the city center.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Data Engineer (Python, Spark, Snowflake)

The Role

As a Data Engineer, you will build and scale health data pipelines that enable data discoverability, linkage, privacy, machine learning, and analytics across the organization. You will work with Python, Spark, and Snowflake to design efficient data models and reliable processing frameworks. This role provides the opportunity to shape foundational data infrastructure that supports regulatory-grade health decisions at scale.

What You’ll Do

• Design and maintain scalable data pipelines using Python, Spark, and Airflow
• Ensure pipeline reliability, data quality, and observability
• Partner with Science and Product to define and prioritize data requirements
• Implement automated testing and optimize processing performance and cost
• Design and maintain data validation frameworks aligned with regulatory requirements

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
• 2+ years of data engineering or software engineering experience for junior candidates; 5+ years for senior candidates
• Professional experience building data pipelines in Python
• Hands on experience with distributed data processing frameworks such as Apache Spark and orchestration with Airflow
• Experience working with cloud data warehouses such as Snowflake
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices

Preferred Qualifications

• Experience designing dimensional or analytics data models
• Experience working in AWS-based data environments
• Experience implementing data governance and quality frameworks
• Understanding of architectural considerations for on premises deployments, including networking and security constraints
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Position Overview:

We're searching for a Senior Product Manager on our Platform Machine Learning team who can help drive the team’s product vision and strategy. This Product Manager will work closely with Zynga’s internal teams to understand their technological needs as they build out engaging experiences for our new and existing player base. Projects will range from the development of automation tools, data pipelines, and ML models, empowering users to effectively and efficiently meet their business goals.

What You'll Do:

• Establish the product vision and strategy that will help improve operations and performance across our business.
• Partner with executive, game, marketing, and analytics teams to understand user needs and establish success criteria with clearly measurable objectives and key results to deliver a great end-user experience.
• Collaborate with a high-performing group of Engineers, Data Scientists, and Analysts acting as the voice of the business to shape the development and delivery of AI solutions. 
• Define key performance indicators (KPIs) and track the impact of products on business outcomes
• Impact the end-to-end product lifecycle of features spanning multiple areas.
• Collaborate to solve novel problems introduced by the constantly evolving and increasingly challenging gaming ecosystem. 
• Be or become a guide in data science strategies and technologies, including key vendors in the space, pros and cons of opposing approaches, and trade-offs involved with different strategies.

Zynga is known for its data-driven culture, its ambitious mindset, and its fast-paced, challenging work environment where each individual can make a difference. We value strong analytical skills, problem-solving, and quantitative experience. We look for great communicators, leaders, and team players.

What You Bring:

• Strong analytical and problem-solving skills with a Bachelor's degree or equivalent experience in Computer Science, Engineering, Economics, or Business.
• 5+ years of professional experience in a product management role.
• Prior experience in working with Game and/or Marketing teams or building DS solutions.
• Demonstrated experience with prioritizing projects, collecting requirements, crafting product specifications, and carrying features from conceptualization to deployment.
• Good knowledge of agile software development methodologies and software development life cycle.
• Experience with metrics-driven decision-making. 
• A track record for high performance and team/project leadership.
• Hard-working, performance-driven self-starter and team player.
• Excellent verbal and written communication skills.

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Ontario at the start of employment is expected to be between $92,000 and $142,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

About Appodeal

Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona, and Parkland (FL), along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses.

We take pride in our cutting-edge product and our internationally distributed team of talented professionals.

Here’s what we value:

• Continuous Learning and Growth – We invest in development and long-term careers
• Making an Impact – We are building a history-defining company in the mobile industry
• Solving Exciting Challenges – Complex, large-scale problems are part of our daily work
• Enjoying the Journey – We believe great results come with a positive environment

About the Role

We are looking for a Senior Rust Engineer to join our Barcelona team and contribute to building high-performance, real-time systems powering our ML-driven AdTech platform (Mobile Growth Platform).

In this role, you will work on core backend infrastructure and ML platform components, focusing on low-latency, high-load services that process large-scale traffic in real time.

You will play a key role in developing and optimizing systems such as real-time applications, feature stores, user identity services, and custom inference layers, ensuring scalability, reliability, and performance.

Responsibilities

• Contribute to the development of real-time applications and ML platform components
• Build and maintain high-load, low-latency backend services
• Work on in-house solutions including:
  • Feature stores
  • User identity services
  • Custom inference layer
  • ML platform infrastructure
• Optimize system performance across on-premise Docker & Kubernetes environments
• Design and implement solutions for traffic scaling and system reliability
• Collaborate with ML, data, and engineering teams to support production ML systems
• Continuously improve system architecture, observability, and efficiency

Tech Stack

• Languages: Rust, Python
• Data & Streaming: Kafka, SQL, Redis, ScyllaDB, Delta Lake, Databricks
• Infrastructure: Docker, Kubernetes (on-premise)
• Tools: GitHub

Requirements

• 5+ years of experience in software engineering
• Strong proficiency in Rust
  or
  proficiency in C/C++/Zig with willingness to transition to Rust
• Experience designing and building high-load, performance-critical systems
• Solid understanding of system design, concurrency, and performance optimization
• Basic knowledge of machine learning workflows and tools

Nice to Have

• System programming experience (C, C++, Zig)
• Experience in ML engineering / MLOps
• Strong Python skills
• Familiarity with AdTech standards (OpenRTB, MRAID, VAST)
• Experience with WASM / WASI
• Background in distributed systems and real-time processing
• Location: Barcelona, Spain (office attendance 4 days per week)

What We’re Looking For

• Autonomous and self-driven engineer with strong ownership mindset
• Passion for engineering excellence, performance, and scalability
• Interest in ML/AI systems and infrastructure
• Ability to work independently and make informed decisions
• Strong collaboration and communication skills

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

We appreciate teamwork, critical thinking, independent decision-making, and standing up for oneʼs viewpoint.
We are looking for talented engineers who are willing to grow, improve and share our values!

We are now expanding our data capabilities and seeking an experienced Head / Director of Data Science to lead and scale our Data Science UA team function in Barcelona.

This role is ideal for a leader with a strong technical background, excellent people-management skills, and the ability to turn data into actionable, high-impact product and business outcomes.

Role Overview:

The Head / Director of Data Science will be responsible for building and growing our Data Science organization, driving advanced analytics and ML initiatives, and ensuring our products and business units are empowered by high-quality insights and predictive capabilities.

You will work closely with Product, Engineering, Revenue, and Leadership teams to translate business needs into DS/ML solutions, strengthen our data infrastructure, and support decision-making across the ecosystem.

This is a strategic and hands-on leadership role with significant influence on product evolution, optimization algorithms, and operational excellence.

Key Responsibilities:

Leadership & Strategy

• Lead and scale the Data Science function across the organization.
• Translate business and product goals into clear DS/ML initiatives and execution plans.
• Build and promote a strong data-driven culture across all teams.
• Applied Data Science & ML.
• Oversee development, deployment, and monitoring of ML models across Appodeal’s product and monetization ecosystem.
• Guide experimentation, modeling, uplift measurement, and algorithmic optimization.
• Ensure model quality, reliability, fairness, and performance at scale.
• Collaboration & Stakeholder Management.
• Partner with Product and Engineering teams to integrate Data Science into product roadmaps.
• Work with business units to identify opportunities, define DS/ML requirements, and deliver impactful insights.
• Communicate DS outcomes, metrics, and recommendations to leadership.

Team Leadership

• Lead, mentor, and develop a multidisciplinary team of Data Scientists, Analysts, and ML/AI specialists.
• Foster knowledge sharing, best practices, experimentation, and continuous improvement.
• Drive hiring, talent development, and team structure optimization.

Data Infrastructure & Governance

• Collaborate with Data Engineering and MLOps teams to ensure robust pipelines, feature stores, and model deployment workflows.
• Improve data quality, observability, and governance standards.

Qualifications:

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Math, or a related field (PhD is a plus).

Experience

• 5+ years of experience in Data Science, Machine Learning, or Applied Analytics.
• 3+ years in a DS leadership role (Lead DS, Head of DS, Director of DS, or similar).
• Demonstrated experience building and leading Data Science teams.
• Proven track record of delivering DS/ML solutions with real business impact.

Technical Skills

• Strong understanding of ML algorithms, experimentation, predictive modeling, and statistical analysis.
• Hands-on experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and analytics tooling.
• Solid understanding of data pipelines, big data technologies, and collaboration with Data Engineering teams.
• Experience with AdTech, attribution, auction mechanics, or optimization algorithms is a strong plus.

Leadership & Soft Skills

• Excellent stakeholder management and communication skills.
• Ability to translate technical concepts into business language.
• Strong decision-making and prioritization abilities.
• Passion for mentoring, coaching, and building high-performing teams.

What We Offer:

• Opportunity to build and lead the Data Science function of a global product company.
• Direct influence on product roadmap and business outcomes.
• Collaborative and international team environment.
• Competitive compensation package and growth opportunities.
• A chance to shape the future of mobile app monetization.

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona. 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona. 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

About the Role

Shape the future of growth at Payhawk. This is a high-impact global role, working directly with the CMO to build, scale, and optimise demand generation for one of our platform products. 

We need an experienced demand generation operator who’s ready to design global campaign strategies from scratch, driving experimentation, and collaborating cross-functionally to create aligned, insight-driven growth. If you’ve built a successful demand-generation machine in a single market and are ready to take your playbook global, this is your next step.

Outcomes you will drive

• Pipeline and MRR generation for the Product you are responsible for (New Business and Expansion)
• MRR and Number of Won Named Accounts
• Pipeline from Named Accounts
• Driving a consistent flow of “Engaged” Named Accounts each month
• Increasing Engaged-to-SAL conversion rates through highly relevant campaign motions
• Generating pipeline from ABM at an industry-leading ROI per euro spent

Responsibilities 

• Demand-generation strategy: Define the strategy for generating demand for the Product across new business and expansion motions
• GTM Pod Leadership: Alongside a Product Marketing Manager, you will be responsible for steering a cross-functional marketing team (a “GTM Pod”). You will make decisions regarding the demand-generation initiatives
• GTM Pod Reporting: Contribute to Monthly Reports and leadership discussions. In particular, justifying spending decisions and marketing ROI
• Ultimate budget owner: Decide how to allocate the budget across demand-generation and demand-capture channels and initiatives, to maximise cost-efficiency and marketing ROI
• ABM strategy & architecture: Define our campaign structure, hypotheses, personas, and targeting aligned to the new Named Accounts structure in the Revenue Org
• Account funnel design: Build and maintain the framework and rules for progression through ABM funnel stages
• Growth-focused execution: Launch campaigns fast, test relentlessly, and refine based on real-world feedback
• Content creation: Develop key campaign assets (ads, emails, landing pages), and partner with the Content Team for localization
• Multi-touch and multi-channel orchestration: Activate campaigns across multiple channels including digital ads, outbound email, and gifting
• AI-powered personalization: Use AI and martech tools to tailor messaging and campaigns to account segments
• Performance analytics: Track and analyse campaign effectiveness, and identify opportunities for optimisation
• Playbook development: Codify what works into repeatable models for global scale
• BDR alignment: Collaborate closely with our BDR team to ensure ABM signals inform outreach and drive conversion
• AE alignment: Collaborate closely with our AE team to ensure MQLs are worked promptly and expertly, and we win the pipeline we create

Requirements

• 5+ years Demand-Gen experience, ideally in B2B SaaS or fintech
• Proven experience developing marketing strategies that support an Outbound motion
• Proven track record of generating demand with Enterprise accounts
• Experience creating global “one-to-many” Account-Based Marketing campaigns
• Experience in building programmatic marketing campaigns
• Experience working within a “growth” mindset, i.e. running high volumes of structured experiments to improve marketing effectiveness
• Hands-on – You’re not just setting strategy—you’re writing copy, building landing pages, and testing new tools
• Exceptional leadership, communication, and collaboration skills
• Fluent in English
• Willingness to work from our office 4 days per week

Company Benefits

• 30 days of paid time off + 12 work-from-anywhere days
• Exchange policy to another Payhawk office (Amsterdam, Sofia, Berlin, London, Barcelona)
• Health and fitness membership
• Two company on-sites per year
• Opportunity to use the Payhawk product, with a monthly commuting allowance of 150EUR

Please note that unfortunately we cannot provide visa sponsorship, and to be considered for this role, candidates must be able to provide proof of their eligibility to work in France.

Payhawk is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

About the Role

Shape the future of growth at Payhawk. This is a high-impact global role, working directly with the CMO to build, scale, and optimise demand generation for one of our platform products. 

We need an experienced demand generation operator who’s ready to design global campaign strategies from scratch, driving experimentation, and collaborating cross-functionally to create aligned, insight-driven growth. If you’ve built a successful demand-generation machine in a single market and are ready to take your playbook global, this is your next step.

Outcomes you will drive

• Pipeline and MRR generation for the Product you are responsible for (New Business and Expansion)
• MRR and Number of Won Named Accounts
• Pipeline from Named Accounts
• Driving a consistent flow of “Engaged” Named Accounts each month
• Increasing Engaged-to-SAL conversion rates through highly relevant campaign motions
• Generating pipeline from ABM at an industry-leading ROI per euro spent

Responsibilities 

• Demand-generation strategy: Define the strategy for generating demand for the Product across new business and expansion motions
• GTM Pod Leadership: Alongside a Product Marketing Manager, you will be responsible for steering a cross-functional marketing team (a “GTM Pod”). You will make decisions regarding the demand-generation initiatives
• GTM Pod Reporting: Contribute to Monthly Reports and leadership discussions. In particular, justifying spending decisions and marketing ROI
• Ultimate budget owner: Decide how to allocate the budget across demand-generation and demand-capture channels and initiatives, to maximise cost-efficiency and marketing ROI
• ABM strategy & architecture: Define our campaign structure, hypotheses, personas, and targeting aligned to the new Named Accounts structure in the Revenue Org
• Account funnel design: Build and maintain the framework and rules for progression through ABM funnel stages
• Growth-focused execution: Launch campaigns fast, test relentlessly, and refine based on real-world feedback
• Content creation: Develop key campaign assets (ads, emails, landing pages), and partner with the Content Team for localization
• Multi-touch and multi-channel orchestration: Activate campaigns across multiple channels including digital ads, outbound email, and gifting
• AI-powered personalization: Use AI and martech tools to tailor messaging and campaigns to account segments
• Performance analytics: Track and analyse campaign effectiveness, and identify opportunities for optimisation
• Playbook development: Codify what works into repeatable models for global scale
• BDR alignment: Collaborate closely with our BDR team to ensure ABM signals inform outreach and drive conversion
• AE alignment: Collaborate closely with our AE team to ensure MQLs are worked promptly and expertly, and we win the pipeline we create

Requirements

• 5+ years Demand-Gen experience, ideally in B2B SaaS or fintech
• Proven experience developing marketing strategies that support an Outbound motion
• Proven track record of generating demand with Enterprise accounts
• Experience creating global “one-to-many” Account-Based Marketing campaigns
• Experience in building programmatic marketing campaigns
• Experience working within a “growth” mindset, i.e. running high volumes of structured experiments to improve marketing effectiveness
• Hands-on – You’re not just setting strategy—you’re writing copy, building landing pages, and testing new tools
• Exceptional leadership, communication, and collaboration skills
• Fluent in English
• Willingness to work from our office 4 days per week

Company Benefits

• 30 days of paid time off + 12 work-from-anywhere days
• Exchange policy to another Payhawk office (Amsterdam, Paris, Berlin, London, Barcelona)
• Health and fitness membership
• Two company on-sites per year
• Opportunity to use the Payhawk product, with a monthly commuting allowance of 150EUR

Please note that unfortunately we cannot provide visa sponsorship, and to be considered for this role, candidates must be able to provide proof of their eligibility to work in Bulgaria.

Payhawk is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

About the Role

Shape the future of growth at Payhawk. This is a high-impact global role, working directly with the CMO to build, scale, and optimise demand generation for one of our platform products. 

We need an experienced demand generation operator who’s ready to design global campaign strategies from scratch, driving experimentation, and collaborating cross-functionally to create aligned, insight-driven growth. If you’ve built a successful demand-generation machine in a single market and are ready to take your playbook global, this is your next step.

Outcomes you will drive

• Pipeline and MRR generation for the Product you are responsible for (New Business and Expansion)
• MRR and Number of Won Named Accounts
• Pipeline from Named Accounts
• Driving a consistent flow of “Engaged” Named Accounts each month
• Increasing Engaged-to-SAL conversion rates through highly relevant campaign motions
• Generating pipeline from ABM at an industry-leading ROI per euro spent

Responsibilities 

• Demand-generation strategy: Define the strategy for generating demand for the Product across new business and expansion motions
• GTM Pod Leadership: Alongside a Product Marketing Manager, you will be responsible for steering a cross-functional marketing team (a “GTM Pod”). You will make decisions regarding the demand-generation initiatives
• GTM Pod Reporting: Contribute to Monthly Reports and leadership discussions. In particular, justifying spending decisions and marketing ROI
• Ultimate budget owner: Decide how to allocate the budget across demand-generation and demand-capture channels and initiatives, to maximise cost-efficiency and marketing ROI
• ABM strategy & architecture: Define our campaign structure, hypotheses, personas, and targeting aligned to the new Named Accounts structure in the Revenue Org
• Account funnel design: Build and maintain the framework and rules for progression through ABM funnel stages
• Growth-focused execution: Launch campaigns fast, test relentlessly, and refine based on real-world feedback
• Content creation: Develop key campaign assets (ads, emails, landing pages), and partner with the Content Team for localization
• Multi-touch and multi-channel orchestration: Activate campaigns across multiple channels including digital ads, outbound email, and gifting
• AI-powered personalization: Use AI and martech tools to tailor messaging and campaigns to account segments
• Performance analytics: Track and analyse campaign effectiveness, and identify opportunities for optimisation
• Playbook development: Codify what works into repeatable models for global scale
• BDR alignment: Collaborate closely with our BDR team to ensure ABM signals inform outreach and drive conversion
• AE alignment: Collaborate closely with our AE team to ensure MQLs are worked promptly and expertly, and we win the pipeline we create

Requirements

• 5+ years Demand-Gen experience, ideally in B2B SaaS or fintech
• Proven experience developing marketing strategies that support an Outbound motion
• Proven track record of generating demand with Enterprise accounts
• Experience creating global “one-to-many” Account-Based Marketing campaigns
• Experience in building programmatic marketing campaigns
• Experience working within a “growth” mindset, i.e. running high volumes of structured experiments to improve marketing effectiveness
• Hands-on – You’re not just setting strategy—you’re writing copy, building landing pages, and testing new tools
• Exceptional leadership, communication, and collaboration skills
• Fluent in English
• Willingness to work from our office 4 days per week

Company Benefits

• 30 days of paid time off + 12 work-from-anywhere days
• Exchange policy to another Payhawk office (Amsterdam, Paris, Barcelona, Berlin, Sofia)
• Health and fitness membership
• Two company on-sites per year
• Opportunity to use the Payhawk product, with a monthly commuting allowance of 150EUR

Please note that unfortunately we cannot provide visa sponsorship, and to be considered for this role, candidates must be able to provide proof of their eligibility to work in the UK.

Payhawk is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

About the Role

Shape the future of growth at Payhawk. This is a high-impact global role, working directly with the CMO to build, scale, and optimise demand generation for one of our platform products. 

We need an experienced demand generation operator who’s ready to design global campaign strategies from scratch, driving experimentation, and collaborating cross-functionally to create aligned, insight-driven growth. If you’ve built a successful demand-generation machine in a single market and are ready to take your playbook global, this is your next step.

Outcomes you will drive

• Pipeline and MRR generation for the Product you are responsible for (New Business and Expansion)
• MRR and Number of Won Named Accounts
• Pipeline from Named Accounts
• Driving a consistent flow of “Engaged” Named Accounts each month
• Increasing Engaged-to-SAL conversion rates through highly relevant campaign motions
• Generating pipeline from ABM at an industry-leading ROI per euro spent

Responsibilities 

• Demand-generation strategy: Define the strategy for generating demand for the Product across new business and expansion motions
• GTM Pod Leadership: Alongside a Product Marketing Manager, you will be responsible for steering a cross-functional marketing team (a “GTM Pod”). You will make decisions regarding the demand-generation initiatives
• GTM Pod Reporting: Contribute to Monthly Reports and leadership discussions. In particular, justifying spending decisions and marketing ROI
• Ultimate budget owner: Decide how to allocate the budget across demand-generation and demand-capture channels and initiatives, to maximise cost-efficiency and marketing ROI
• ABM strategy & architecture: Define our campaign structure, hypotheses, personas, and targeting aligned to the new Named Accounts structure in the Revenue Org
• Account funnel design: Build and maintain the framework and rules for progression through ABM funnel stages
• Growth-focused execution: Launch campaigns fast, test relentlessly, and refine based on real-world feedback
• Content creation: Develop key campaign assets (ads, emails, landing pages), and partner with the Content Team for localization
• Multi-touch and multi-channel orchestration: Activate campaigns across multiple channels including digital ads, outbound email, and gifting
• AI-powered personalization: Use AI and martech tools to tailor messaging and campaigns to account segments
• Performance analytics: Track and analyse campaign effectiveness, and identify opportunities for optimisation
• Playbook development: Codify what works into repeatable models for global scale
• BDR alignment: Collaborate closely with our BDR team to ensure ABM signals inform outreach and drive conversion
• AE alignment: Collaborate closely with our AE team to ensure MQLs are worked promptly and expertly, and we win the pipeline we create

Requirements

• 5+ years Demand-Gen experience, ideally in B2B SaaS or fintech
• Proven experience developing marketing strategies that support an Outbound motion
• Proven track record of generating demand with Enterprise accounts
• Experience creating global “one-to-many” Account-Based Marketing campaigns
• Experience in building programmatic marketing campaigns
• Experience working within a “growth” mindset, i.e. running high volumes of structured experiments to improve marketing effectiveness
• Hands-on – You’re not just setting strategy—you’re writing copy, building landing pages, and testing new tools
• Exceptional leadership, communication, and collaboration skills
• Fluent in English
• Willingness to work from our office 4 days per week

Company Benefits

• 30 days of paid time off + 12 work-from-anywhere days
• Exchange policy to another Payhawk office (Amsterdam, Paris, Berlin, London, Sofia)
• Health and fitness membership
• Two company on-sites per year
• Opportunity to use the Payhawk product, with a monthly commuting allowance of 150EUR

Please note that unfortunately we cannot provide visa sponsorship, and to be considered for this role, candidates must be able to provide proof of their eligibility to work in Spain.

Payhawk is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

The AI era isn't coming, it's already here. At Manychat, we're building it into the foundation of everything  and we need an Applied AI Engineer to help make that real.

Your main focus will be AI agents and agentic workflows, LLM-powered system orchestration, and automation pipelines that integrate into the business processes that actually matter. You'll work across internal and customer-facing systems, writing production-grade code and partnering with product and business teams to turn complex challenges into reliable, scalable solutions.

We'd love to work with someone who brings more than strong engineering fundamentals. Someone with the product mindset to understand business context, the communication skills to work fluidly across teams, and the pragmatism to choose solutions that are effective and built to last. Ownership matters here: we're looking for someone who drives work from discovery to rollout, not someone who hands things off at the first checkpoint.

If success for you means identifying real AI use cases, building things that work reliably at scale, and being a trusted technical partner to the teams around you, let’s talk! 

WHAT YOU'LL DO 🚀

• Design, build, and maintain AI-driven services and agent-based solutions for workflow and business process automation.
• Develop orchestration logic across LLMs, internal services, APIs, databases, and third-party platforms.
• Build backend components for AI products and automation pipelines using TypeScript and Node.js.
• Integrate AI-powered workflows with CRM, ERP, ticketing, knowledge management, communication, and other business systems.
• Implement and improve RAG, tool/function calling, memory/state handling, evaluation, and monitoring for AI use cases.
• Partner closely with Product Managers, domain experts, and business stakeholders to identify high-impact use cases and translate them into technical solutions.
• Contribute across the full product lifecycle: discovery, prototyping, production delivery, and iteration.
• Ensure production quality through testing, observability, reliability, security, performance, and cost awareness.
• Document architecture, technical decisions, and tradeoffs, and communicate them clearly to both technical and non-technical stakeholders.

TO SHINE IN THIS ROLE 💥

You'll need:

• 3 – 5 years of experience in software engineering, backend engineering, or applied AI engineering.
• Strong hands-on experience with TypeScript and Node.js in production environments.
• Experience building backend services, APIs, and integrations.
• Practical experience with LLM-based applications, AI automation, or agentic workflows.
• Solid understanding of RAG, prompt engineering, tool/function calling, and context management.
• Experience working with SQL/NoSQL databases and external APIs.
• Understanding of reliable backend patterns such as async processing, retries, queues, idempotency, and error handling.
• Ability to understand business workflows and translate ambiguous requirements into clear technical solutions.
• Experience collaborating with product teams, analysts, operations, and other stakeholders.
• Strong communication skills and the ability to explain complex solutions to both technical and non-technical audiences.

IT WOULD BE GREAT IF YOU HAVE 🤩

• Experience with LangChain, LangGraph, OpenAI SDK, LlamaIndex, or similar frameworks.
• Experience with workflow and orchestration tools such as n8n, Temporal, or event-driven systems.
• Familiarity with PostgreSQL, Redis, Kafka, BullMQ, or similar technologies.
• Experience with vector databases such as pgvector, Pinecone, Qdrant, or Weaviate.
• Experience with Python in AI/ML-related use cases.
• Experience with Docker, cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.
• Exposure to observability and evaluation tooling for AI systems.
• Understanding of security, privacy, and governance considerations for AI-driven business systems.

Tech Stack

• Core: TypeScript, Node.js
• Backend: NestJS, Express, or similar frameworks
• AI/LLM: OpenAI API, Anthropic API, LangChain, LangGraph
• Data/RAG: PostgreSQL, pgvector, Redis, vector databases
• Integrations: REST APIs, webhooks, third-party SaaS platforms

Infrastructure: Docker, cloud services, CI/CD, logging and monitoring

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

About Skyscanner 

Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily 💻. 

Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all 🌍. 

Our vision? To be the world's number one travel ally. (Ambitious? 💪 Yes, but, hey, that's what got us here.) 

About the role 

We’re looking for a Principal Product Manager – AI Platform to build and scale the internal developer platform that enables teams to ship AI-powered products faster. Your primary responsibility will be to improve how engineers build, test, and deploy products — by creating platform capabilities, tooling, and workflows that significantly increase developer velocity and reduce friction.

This is a hands-on, platform-focused role for a PM who loves thinking in systems, translating cutting-edge AI capabilities into smooth, secure, and joyful experiences for engineers, data scientists, and PMs alike. You’ll define the backbone of our AI ecosystem — ensuring our teams can safely build, test, and ship smarter, faster, and better. 

You can be based in Barcelona, Edinburgh or London, where we adopt a hybrid working policy of working in the office twice a week.

What you’ll be doing 

• Championing Developer Experience: Design platform capabilities that make experimentation, evaluation, and deployment of GenAI features frictionless — boosting productivity through measurable outcomes like DORA and Core4 metrics. 
• Driving AI Platform Strategy: Define the roadmap for Skyscanner’s GenAI platform, spanning infrastructure and tooling, developer productivity, and observability.
• Leading with Security and Governance: Partner with security, compliance, and data governance teams to ensure responsible AI usage, privacy, and policy adherence across our stack.
• Powering AI-Ready Knowledge: Help build and scale Skyscanner’s knowledge graph, retrieval systems, and evaluation frameworks for both internal and traveller-facing AI use cases.
• Enabling Measurable Impact: Define and track metrics for platform reliability, usability, and developer delight, ensuring innovation scales responsibly.
• Collaborating Across Disciplines: Work hand-in-hand with ML engineers, data scientists, and PMs to turn platform magic into traveller impact. 

About you 

• Deeply Technical PM: You understand the nuts and bolts of developer experience, and knows how to walk the walk with engineering partners

• Platform Thinker: You’re at home in developer-facing environments and have shipped products or tools that improved engineering velocity, or workflow quality. 

• ModelOps Fluent: You know what it takes to operationalise AI — including evaluation frameworks, reproducibility, model registries, and the practical realities of scaling. 

• Metrics-Driven: You’re obsessed with quantifying impact — familiar with DORA, Core4, and productivity metrics that help measure and improve developer experience. 

• Collaborative Influencer: You thrive on ambiguity, drive clarity through collaboration, and influence through trust and expertise (not org charts). 
• Curious Experimenter: You keep one foot in the future — exploring new AI tools, frameworks, and practices, always looking for the next edge. 

What it’s like here 

We are the real deal — no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier 🧭. 

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all ✨. 

Sound like your kind of adventure? 🚀 Apply now and help us shape the future of travel. 

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. 

About Skyscanner 

Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily 💻. 

Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all 🌍. 

Our vision? To be the world's number one travel ally. (Ambitious? 💪 Yes, but, hey, that's what got us here.) 

About the role 

We’re looking for a Principal Product Manager – AI Platform to build and scale the internal developer platform that enables teams to ship AI-powered products faster. Your primary responsibility will be to improve how engineers build, test, and deploy products — by creating platform capabilities, tooling, and workflows that significantly increase developer velocity and reduce friction.

This is a hands-on, platform-focused role for a PM who loves thinking in systems, translating cutting-edge AI capabilities into smooth, secure, and joyful experiences for engineers, data scientists, and PMs alike. You’ll define the backbone of our AI ecosystem — ensuring our teams can safely build, test, and ship smarter, faster, and better. 

You can be based in Barcelona, Edinburgh or London, where we adopt a hybrid working policy of working in the office twice a week.

What you’ll be doing 

• Championing Developer Experience: Design platform capabilities that make experimentation, evaluation, and deployment of GenAI features frictionless — boosting productivity through measurable outcomes like DORA and Core4 metrics. 
• Driving AI Platform Strategy: Define the roadmap for Skyscanner’s GenAI platform, spanning infrastructure and tooling, developer productivity, and observability.
• Leading with Security and Governance: Partner with security, compliance, and data governance teams to ensure responsible AI usage, privacy, and policy adherence across our stack.
• Powering AI-Ready Knowledge: Help build and scale Skyscanner’s knowledge graph, retrieval systems, and evaluation frameworks for both internal and traveller-facing AI use cases.
• Enabling Measurable Impact: Define and track metrics for platform reliability, usability, and developer delight, ensuring innovation scales responsibly.
• Collaborating Across Disciplines: Work hand-in-hand with ML engineers, data scientists, and PMs to turn platform magic into traveller impact. 

About you 

• Deeply Technical PM: You understand the nuts and bolts of developer experience, and knows how to walk the walk with engineering partners

• Platform Thinker: You’re at home in developer-facing environments and have shipped products or tools that improved engineering velocity, or workflow quality. 

• ModelOps Fluent: You know what it takes to operationalise AI — including evaluation frameworks, reproducibility, model registries, and the practical realities of scaling. 

• Metrics-Driven: You’re obsessed with quantifying impact — familiar with DORA, Core4, and productivity metrics that help measure and improve developer experience. 

• Collaborative Influencer: You thrive on ambiguity, drive clarity through collaboration, and influence through trust and expertise (not org charts). 
• Curious Experimenter: You keep one foot in the future — exploring new AI tools, frameworks, and practices, always looking for the next edge. 

What it’s like here 

We are the real deal — no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier 🧭. 

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all ✨. 

Sound like your kind of adventure? 🚀 Apply now and help us shape the future of travel. 

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.