Experimentation Training Engagement Specialist jobs at Booking in Netherlands, Amsterdam

Role description

• This role is based in Amsterdam

• At Booking.com we are proud of the way we use data and experimentation to drive better product decisions. Over the last 20 years, we have continuously invested in building the best possible experimentation platform to enable our colleagues throughout the company to make the best possible decisions for our customers, partners and our business.

We are seeking a
Technical Product Managerto join our Core teams in the Experimentation Platform department. In this role, you will own key components of the experimentation data infrastructure and data products that power product decision-making at Booking.com.

• You will be responsible for ensuring that our tracking systems, randomization logic, data pipelines and APIs are reliable, scalable and easy to use. You will partner closely with engineers to modernize legacy systems and enhance developer experience across the company.

• You will enable experimentation across a wide range of services and technologies by ensuring consistent data quality, seamless integration and robust support for new use cases as the platform evolves.

• You will lead the ideation and generation of experimentation data products by identifying use cases and enabling governed and secure access to experimentation datasets to increase the value Booking.com generates from experimentation and ensure the accuracy and trustworthiness of the data teams rely on.

Key Job Responsibilities and Duties

• Experimentation Data Infrastructure

  • Contribute to the vision and roadmap for the Core team’s data infrastructure, ensuring it supports reliable data collection, processing, and access at scale.

  • Support the modernization of experimentation infrastructure, helping migrate legacy systems to more scalable, cloud-based solutions.

  • Partner closely with engineers to deliver and operate tracking, ingestion, and pipeline systems that ensure accuracy, performance, and reliability.

  • Define and monitor critical success metrics to evaluate product health and team impact.

  • Help the team identify and manage technical debt, balancing immediate delivery needs with long-term maintainability.

  • Work with your engineering counterpart to prioritize the team backlog, aligning day-to-day execution with user and business needs.

  • Collaborate with cross-functional stakeholders (engineering, data science, product) to gather requirements and ensure Core team services meet their needs.

  • Drive improvements in automation, monitoring, and observability to reduce operational workload and increase system reliability.

  • Partner with other product managers in the department to coordinate dependencies and contribute to the broader experimentation platform

• Experimentation Data Products

  • Lead the ideation and delivery of experimentation data products that make experimentation data accessible, accurate and actionable.

  • Define use cases and requirements for post-experiment analysis that is not supported by the UI.

  • Enable governed and secure access to experimentation datasets to ensure consistency and trust across all analytical use.

  • Establish data quality and governance standards to maintain accuracy, reliability and compliance across experimentation data products.

Role Qualifications and Requirements

• Experience: Minimum 4 years in Product Management with a technical or platform focus, ideally managing data platforms (e.g., Experimentation, Machine learning platforms, Data warehouse, Data Lakes)

• Data Product Mindset: Experience defining and delivering internal data products that transform raw data into trusted, actionable insights. Comfortable working with stakeholders to identify use cases, shape data access patterns and enforce governance standards.

• Delivery & Maintainability: Proven ability to manage technical roadmaps, address technical debt and balance short-term delivery with long-term platform and product health.

• Technical Fluency: Strong understanding of APIs, real-time and batch data pipelines, tracking libraries, and event collection technologies.

• Experimentation Knowledge: Familiarity with A/B testing and experimentation concepts, with an eagerness to deepen expertise in this area.

• Analytical Skills: Ability to validate assumptions, explore data, and trace how it moves through systems; proven problem-solving and structured thinking.

• Collaboration & Communication: Effective at engaging with engineers, data scientists, and users of the platform, translating technical detail into actionable goals.

: Global Impact, Personal Relevance

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)

• A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office

• Commuting allowance and bike reimbursement scheme

• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers

• Free access to online learning platforms, development and mentorship programs

• Global Employee Assistance Program, free Headspace membership

Career Development Opportunities

• Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities

• Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly

Application Process

• The interview process will entail a total of 4 interviews, all conducted via Zoom video conferencing.

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Key Responsibilities:

• Hands-on experience with MarTech tools (e.g., Salesforce Marketing Cloud, Adobe Campaign, Marketo, Braze, HubSpot, etc.) to build, execute, and optimize campaigns.

• Ability to understand and write HTML, CSS, and scripting languages (e.g., AMPscript, JavaScript) for responsive and personalized content.

• Proficiency in writing and optimizing SQL queries for audience segmentation, data extraction, and reporting.

• Build and develop emails from scratch, ensuring high-quality, responsive design across devices and email clients.

• Create and manage email and push messaging campaigns, from content development and QA to set-up, deployment, and tracking.

• Perform QA checks on all aspects of campaigns (copy, links, rendering, tracking, and user experience) before launch.

• Execute A/B testing for subject lines, content, and segmentation strategies to optimize engagement.

• Implement advanced segmentation and conditional/dynamic content to deliver personalized customer experiences.

• Monitor key metrics (open rates, CTR, conversion, deliverability, engagement) to identify opportunities for optimization.

• Collaborate with cross-functional teams (Product, Tech, UX/Design, Data Science, Marketing) to design and build impactful campaigns.

• Troubleshoot technical issues related to deployment, rendering, and tracking.

• Stay up to date with digital marketing trends, tools, and technologies, including emerging MarTech and AI capabilities.

• Prepare and present campaign performance reports, summarizing successes, learnings, and opportunities.

• Analyze customer behavior and engagement data to identify lifecycle opportunities and drive retention.

Requirements of special knowledge/skills

• Strong hands-on experience with marketing automation and CRM platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign, Braze, Marketo, HubSpot).

• Marketing automation certifications (SFMC, Adobe Campaign, Braze, or equivalent) are a strong plus.

• Proficiency in HTML, CSS, and scripting languages (e.g., AMPscript, JavaScript) to build responsive and dynamic campaigns.

• Ability to write, optimize, and troubleshoot SQL queries for segmentation, targeting, and reporting.

• Experience in tracking and analyzing campaign performance across email, push notifications.

• Knowledge of A/B testing methodologies, proposing and testing own hypotheses and a test-and-learn mindset for campaign optimization.

• Experience developing and deploying emails from scratch, ensuring QA across devices and clients using Litmus.

• Strong understanding of segmentation, personalization, and lifecycle marketing strategies to drive customer engagement and retention.

• Experience troubleshooting technical issues related to email rendering, deliverability, and tracking.

• Excellent project management skills, with the ability to manage multiple campaigns simultaneously.

• Strong communication and collaboration skills to work effectively with cross-functional teams.

• Awareness of emerging marketing technologies, including AI-powered tools, to enhance campaign performance and efficiency.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

This section should provide:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Essential Functions of the role:

• Strategic Partnership Development: Cultivate strong relationships with Metasearch partners, focusing on communication, negotiation, and planning to meet financial goals, improve performance, and drive growth. Identify new product opportunities.

• Campaign Performance Management: Manage advertising accounts and campaigns end-to-end, monitoring KPIs, optimizing ad spend for ROI, and collaborating with specialized teams (bidding, analytics, product/tech). Regularly report performance, analyze trends, and adapt strategies.

• Project Leadership: Own Meta account-related projects from research and prioritization to implementation and results tracking. Requires strong organizational skills and cross-team communication.

• Data-Driven Decisions: Use advanced analytics to identify optimization opportunities, prioritize initiatives, and translate insights into strategic adjustments.

Key Job Responsibilities and Duties

• Oversee the daily management of strategic advertising campaigns on meta search platforms.

• Manage external stakeholder relationships with Metasearch partners.

• Direct and manage projects end-to-end, including research, prioritization, stakeholder alignment, implementation, and outcome measurement.

• Utilize data-driven insights to determine and prioritize tasks that maximize team and company value.

• Collaborate with global and cross-departmental stakeholders, both internal and external.

• Partner closely with the analytics team to refine advertising spend in alignment with defined KPIs.

• Evaluate performance data and develop strategies to enhance business growth while maintaining return on investment (ROI).

• Generate and execute innovative digital marketing strategies and solutions.

Role Qualifications and Requirements

• Minimum of 3 years of experience in digital marketing.

• Proficient in English (written and verbal communication); knowledge of additional languages is a plus.

• Basic understanding and practical experience with analytics and SQL.

• Strong business acumen and familiarity with key digital marketing performance indicators (KPIs).

• Proven experience in managing external partnerships.

• Experience using data visualization tools like Google Data Studio, Tableau or similar platforms.

• Proficiency in Excel/Google Sheets.

• Excellent project management skills with the ability to effectively prioritize tasks.

• Strong stakeholder management and influencing abilities.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Role description

• This role is based in Amsterdam

• At Booking.com we are proud of the way we use data and experimentation to drive better product decisions. Over the last 20 years, we have continuously invested in building the best possible experimentation platform to enable our colleagues throughout the company to make the best possible decisions for our customers, partners and our business.

As a Senior Product Manager in the Metrics Team, you will drive the strategy and execution of products that ensure experimentation metrics are statistically rigorous, reliable, and accessible across the company. You will partner with engineers, data scientists, and experimenters to embed advanced methodologies, recommend appropriate metrics, and implement governance practices that safeguard decision-making. Your work will directly shape how teams trust, interpret, and act upon metrics, enabling data-driven decisions at scale.

Key Job Responsibilities and Duties

• Own and set the Metrics Ecosystem Strategy: Develop and champion a long-term product vision and roadmap for the experimentation metrics platform, ensuring it meets the company's evolving needs for scale and statistical rigor. Own and define objectives at team and track level.

• Gathers stakeholders’ key requirements and incorporates their feedback, manage expectations independently with clear updates provided up to Director level

• Lead Governance & Best Practices: Define and drive the adoption of a unified framework for the entire metric lifecycle, from creation and metadata management to deprecation, ensuring trust and consistency across the organization.

• Guide Experimenters: Provide recommendations to experimenters on selecting appropriate, high-quality metrics that ensure meaningful and trustworthy results.

• Harm Protection Governance: Define and enforce governance practices that safeguard against harmful or misleading metric use in experimentation.

• Develop Enabling Tools: Guide the development of self-service tools, APIs, and infrastructure that empower product teams to create, manage, and analyze their own metrics with confidence and ease.

• Drive Technical Excellence: Partner with engineering and data science to design and deliver robust, scalable data pipelines and systems that form the backbone of our experimentation results.Understands the most critical elements of the technical solution, and recognizes how multiple systems interrelate to anticipate complex problems or edge cases.

• Ensure Statistical Integrity: Be the product authority on statistical methods, ensuring results are accurate, reproducible, and easy to interpret.

• Champion Data Accessibility: Ensure metric data and experiment results are accessible, actionable, and integrated into downstream workflows.

• Deliver Critical Projects: Navigate complexity and ambiguity to deliver business-critical platform improvements that enhance the reliability and extensibility of our experimentation capabilities.Identifies risks and dependencies across multiple areas, and plans for mitigations.

• Actively contributes to the PM communities outside of their team and organization, by facilitating training, learning sessions or contributing to Product craft working groups

Role Qualifications and Requirements

• Experience: Proven track record (6+ years) in Product Management, with experience working on complex platforms pr data products (e.g., Experimentation, Machine learning platforms).

• Experimentation Fluency: Deep understanding of experimentation frameworks and statistical methods with the ability to define, align, and drive adoption of company-wide best practices.

• Statistical Methods: Understanding of advanced experimentation methodologies (e.g., sequential testing, quantile testing, ratio metrics, heterogeneous treatment effects) and ability to partner with data scientists to integrate these into scalable tools.

• Experimenter Enablement: Experience working directly with product teams and experimenters to guide metric selection, communicate governance policies, and ensure trust in experimentation outcomes.

• Quantitative and Analytical Skills: Strong quantitative and analytical skills with the ability to translate complex statistical and data concepts into clear product requirements and actionable insights.

• Communication & Stakeholder Skills: Proven ability to engage, align, and influence stakeholders at all levels and disciplines, from experimenters to C-level, communicating complex data and technical concepts in a clear and actionable way.

• Technical Fluency: Comfortable working with engineering teams on APIs, data pipelines, and scalable computation systems, with the ability to balance technical constraints with business needs.

• Product Strategy: Skilled in defining product vision and strategy, setting objectives, and driving alignment across multiple teams and stakeholders.

• Delivery Excellence: Demonstrated ability to manage roadmaps, prioritize complex dependencies, and deliver high-quality products that scale.

• Leadership: Ability to work independently, shape long-term product direction, and coach or mentor other PMs when needed.

• Data Science Background: Prior hands-on experience in data science or statistics roles is preferred.

• Industry Collaboration & Thought Leadership: Experience engaging with the wider industry through publishing articles, sharing best practices, or bringing industry experts together is preferred.

: Global Impact, Personal Relevance

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)

• A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office

• Commuting allowance and bike reimbursement scheme

• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers

• Free access to online learning platforms, development and mentorship programs

• Global Employee Assistance Program, free Headspace membership

Application Process

• The interview process will entail a total of 4 interviews, all conducted via Zoom video calls.

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Role Description:

You will play a key role to discover causal relationships in a wide variety of travel products and customers, challenge hidden assumptions and validate the robustness of conclusions to enable confident decisions at scale with real business actions.

Key Job Responsibilities and Duties:

• Responsible for fully owning the design and delivery of causal solutions based on business requirements, from idea-generation, validation, implementation to stakeholder communication. Deliver customer value with the right solutions.

• Keep a sharp eye on both the strengths and limitations of applied methodologies in real use cases. Proactively explore and research advanced statistical and causal techniques suitable for the business applications, and guide junior members as a force multiplier.

• Identify and manage stakeholders independently. Autonomously translate business challenges into proper data stories and solutions. Capable of communicating complex solutions to business stakeholders and craft peers beyond the team’s scope with in-time updates, clear visualization, accessible documentation and effective verbal language.

• Responsible for interpreting quantitative experiments and causal models to objectively guide key business decisions. Grow technical competency and spot opportunities to adopt more efficient approaches. Break down complex problems into tangible milestones to drive continuous improvements and actionable outcomes on product or strategy.

• Identify trends and behaviors from data to uncover hidden causal insights across business domains. Unlock the value of causal inference by bringing together end-to-end solutions. Learn to incorporate scalability, reproducibility and long-term orientation in the work. Embed causal techniques into the bigger picture for business takeaways and recommendations.

Qualifications & Skills:

• Experience working with dynamic project setup, multiple teams and stakeholders to align expectations and collaboration. Turning open-ended questions into clear milestones and agreed deliverables.

• Passionate in driving innovation for real applications with curious, humble and can-do attitudes.

• Proven ability to unpack real world causal questions, design modeling or experimentation solutions, and provide clear and actionable business recommendations with real influence.

• Experience to research and compare new methods and validate feasibility with real data. Clearly explain the reasoning behind technical choices, and open to peer review and discussions.

• Able to zoom in and out in problem solving. Willing to dig deep for exploration, and summarize reusable learnings and methodologies for scalable exploitation.

• Excellent communication skills for diverse audiences. Able to discuss complex technical problems in an accessible, business-friendly manner at all phases of the project.

• Proficient in handling large amounts of data and using causal model packages with Python, Snowpark, or R. Familiar with using causal packages. Produce well structured, readable and reproducible high quality code.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

This section should provide:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

About the team:The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI, to driving excellence in our approach for leveraging secure, trusted, accessible data for data driven decision making through:

• An overarching Data & AI Policy to include associated standards

• Data & AI Governance capabilities

• Data Access and Usage Control, in compliance with regulatory requirements

• Data & AI Delivery Governance

• Data & AI Observability and Quality

The Senior AI Governance Specialist is an expert in AI and Observability, and will be responsible for the definition and maintenance of the AI Governance standards and relative guidelines and playbooks, including the oversight of tooling and processes, and will drive the corresponding best practice across the company. Most specifically, the role oversees that AI systems are developed, deployed, and maintained responsibly, ethically, and in line with regulations and with a risk mitigation approach. This role blends Data and AI technical understanding with policy, ethics, and risk management. The new joiner will have autonomy over the delivery of their work, including requirements gathering, contribution to the solution design, overseeing tooling selection, implementation, integration, roll-out and adoption across business units in a collaborative manner.

Key Job Responsibilities and Duties:

• Develop AI governance frameworks, including AI Governance standards and playbooks, aligned with organizational values and global norms

• Gather, analyse and manage requirements, coming from various stakeholders (e.g., Risk and Control, Compliance, Legal and Business Units)

• Contribute to the design and implementation of AI Governance related tools

• Ensure impact and risk assessments are timely and shared with Leadership to enable effective risk mitigation (e.g., EU AI ACT Risk Assessment, Data Protection Impact Assessment)

• Contribute to the creation and maintaining of risk registers for AI use cases

• Contribute to the KPIs and adoption metrics, for the AI Governance standards across Booking.com, unlocking innovation and business value through leveraging data and AI.

Qualifications and Skills:

• 5+ years’ experience in AI, with a strong understanding of AI/ML technologies (not necessarily coding, but grasping how models work, are trained, mitigate for bias, drift etc.)

• Knowledge of data lifecycle (collection, storage, processing, deletion)

• Familiarity with AI-related regulations (e.g., EU AI Act, GDPR, US AI Bill of Rights)

• Ability to apply ethical and risk management frameworks to AI use cases

• Knowledge of human rights impacts of AI

• Understanding of fairness, accountability, transparency, and explainability (FATE)

• Strong analytical capabilities to assess complex technical and ethical risks.

• Familiarity with AI quality and observability, including architecture and key metrics

• Experience in conducting impact and risk assessments (e.g., EU AI ACT risk Assessment, Data Protection Impact Assessment)

• Experience in working with data scientists, legal teams, compliance, IT, cybersecurity, product owners and other stakeholders

• Collaborate and design effective training programmes to foster a culture of ethics and governance in AI use cases

• Excellent communication skills to convey complex technical concepts to non-technical audiences and build effective relationships across departments.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe

• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide

• Working in a fast-paced and performance driven culture

• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit

• Promote and drive impactful and innovative engineering solutions

• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation

• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Application Process:

This section should provide:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Key Job Responsibilities and Duties:

• Translate and communicate the vision of leadership to team members and build the Data Science and Analytics roadmaps for teams in your scope

• Manage the managers of a team of data scientists and a team of analysts

• Manage stakeholders in both product and technology teams

• Facilitate the prioritization of the workload of the teams and ensure high quality of output

• Drive implementation and deployment of complex projects across Trips Data, with a particular focus on BTL

• Align with centralised data science, Analytics and data quality efforts across

• Champion and deliver compliance within your remit working closely with Trips Data Governance

• Align with data infrastructure teams and analytics leaders across other business units to share knowledge and collaborate

• Coordinate metrics alignment within and beyond Trips, including Trips level aggregation and insights

• Ensure high quality experiments are being run, and strive for continuous rigor in experimentation

• Play an active role in the overall Data Leadership team

Qualifications & Skills:

• Proven experience as manager, plus experience managing managers and managing complex teams in a multidimensional environment

• Driven and results oriented personality

• Open to feedback and always looking for ways to improve own performance

• Exceptional analytical skills, with proven track record of applying analytics and data science skills to solving complex business problems

• Think strategically to identify areas where data science and analytics can make a significant impact on the business

• Able to understand details while keeping an eye on the bigger picture.

• Able to spot opportunities to drive business growth from their craft.

• Analytical and curious mindset

• Strong interpersonal skills

• Expertise and experience on data analysis.

• Expertise in data management, data visualization and quality.

• Strong communication skills to work with senior business leaders

• Demonstrated ability to build strong relationships with customer and partner teams

• Proven ability to manage multiple competing priorities simultaneously

• Demonstrated ability to hire, manage, and develop a team

Desirable Skills:

• Lives and breathes data and analytics

• Has a proven track record of leading analytical and data science organizations in large businesses

• Is a servant leader, an experienced mentor and passionate about people

• Has experience measuring, managing and driving behavioural change through the use of data and analytics in order to support stronger decision making

• Has a strong working knowledge of end to end data lifecycles and strategy

• Works well with Senior Stakeholders to understand what the business is trying to achieve and use data metrics and insights to accelerate, shape and measure

Booking.com’s total rewards philosophy is not only about compensation but also about benefits. Our rewards are aimed at making it easier for you to experience all that life has to offer — all the messy, beautiful, and joyful bits — on your terms. So you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:

• A great, brand new office to in the heart of Manchester

• Free breakfast and lunch

• 25 days’ paid holiday plus bank holidays (rising to 28 days after 3 years of service)

• Health & well-being benefits such as mental health support, access to health insurance, etc.

• Employer contribution pension

• Industry-leading parental leave and adoption leave

• Great discounts on accommodation, car rentals and other group benefits

• From day one of your employment with us, we offer 22 weeks’ fully paid leave for all new parents, regardless of gender or the way you become a parent

• Carer’s leave. 10 days’ fully paid leave per year for colleagues who are caring for ill family members.

• Hybrid Working (UK): We believe in office attendance at least 40% of your time whilst empowering you with the flexibility to plan where to do your best work.