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Operations is the beating heart of Amazon. This key part of our business makes sure we fulfil and dispatch orders efficiently so that our customers get their items on time. As an Area Manager, you’ll make sure your site is running as smoothly as it should so that we can meet customer demand. You will be leading a team that helps keep our operations safe, efficient, and of a high quality and taking on a number of projects across our network to drive productivity. Key job responsibilities Create, oversee, and drive a culture of safety and wellbeing Analyse and implement changes to keep quality and productivity at a consistently high level Oversee projects to streamline processes, optimise productivity and increase quality of service for customers within your area of responsibility Analyse shift performance against relevant business objectives, and put in place actions to improve our operational excellence Work collaboratively with management-level colleagues to standardise shift practices A day in the life You’ll work on a shift pattern at one of our sites, making sure it is as productive as it can be. Your main focus will be to own and drive a culture of safety and uphold quality and shift performance standards. You’ll also oversee process improvements within your area and drive implementation. A typical day is varied, including everything from routine team management and daily operational responsibilities to process improvement and wide-scale operational contingency tasks. You’ll also be a role model and mentor to new managers. About the team Customer Fulfilment, or CF, is where it all started for Amazon. CF has scaled up from a humble team of booksellers to a sophisticated global team which handles more than 1.5 million orders every day. The team is the foundation of our business and its efforts have helped us diversify across new regions and services. With the help of emerging technology, we’re always looking for ways to offer a bigger, better product range – delivered quickly and affordably. The CF team are the first people in the chain that helps customers get products at the speed we’re known for. We’re based in Fulfilment Centres, which are at the heart of Amazon’s fast-paced Operations network. Our centres are sometimes referred to as the ‘First Mile’ because it’s where most Amazon packages start their journey. We help to manage dynamic inventory and facilitate speedy deliveries round the clock. Lots of different people work in our Fulfilment Centres, so there are plenty of opportunities for every skillset. Some of us work with physical products, while others analyse data to help everyone across the business make smart decisions. • Bachelor's degree, or Advanced degree, • Experience in people management, • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization, • Experience using data to influence business decisions, • Experience in English-language communication skills, both written and verbal, • Experience with process improvement techniques such as Kaizen, Lean Manufacturing or Six Sigma, • Experience within a distribution center, logistics, or manufacturing environment, • Experience working with the MS Office suite (Word, Excel, Outlook) and/or SQL in a professional environment Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (_) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Pluxee is a global player in employee benefits and engagement that operates in 28 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits. Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants. Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet. 🚀 Your next challenge Cobee by Pluxee is changing how it builds its data model. Instead of a centralised team building global entities, each product domain will own and maintain its own data layer. You'll be one of the engineers making that shift happen. As an Analyst Engineer, you'll embed in a product domain and build the transformation layer between raw data and business consumption. You'll take Bronze data and turn it into a reliable, well-tested Silver layer, applying the same discipline to data models that a software engineer applies to application code. Your output isn't insights or reports. It's production-grade models other teams can depend on. You'll work closely with the product team in your domain, coordinate with centralised Data Engineers on upstream changes, and take part in the Data Council, the cross-domain group that keeps standards consistent as the distributed model scales. 💻 What you’ll be doing As an Analyst Engineer, you will: • Build and maintain production-grade data models following industry best practices and established data engineering standards., • Design stable and well-structured data schemas with clear naming conventions, defined granularity and documented business logic., • Implement automated data quality controls, including tests, validations, and business-rule checks as part of the development lifecycle., • Monitor and maintain data reliability, proactively identifying and resolving data quality, freshness, and performance issues., • Manage data model evolution through versioning, change management, and clear communication with downstream consumers., • Work within a modern software engineering workflow using Git, pull requests, code reviews, and CI/CD practices., • Collaborate with cross-functional teams to ensure data solutions align with business requirements and organizational standards., • Contribute to data governance initiatives, promote best practices, and share knowledge across teams. 🌟 You’re a match • Solid SQL skills, including window functions, CTEs, incremental processing patterns, and optimization techniques., • Hands-on experience with dbt, including modeling, testing, documentation, macros, and package management., • Strong understanding of data modeling concepts, such as dimensional modeling, schema design, snapshotting, and incremental approaches., • A software engineering workflow: git, pull requests, and CI/CD for data, treating dbt models as production code., • Familiarity with data quality frameworks, monitoring, observability, and anomaly detection practices., • Ability to translate business requirements into scalable and maintainable data models and data products., • Experience working in cross-functional teams and communicating technical decisions clearly to non-data engineers., • Experience with ClickHouse is a plus., • You’ll thrive in this role if you’re comfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment. 🔎 To get this challenge • Video call with a member of the People team to get to know you and your motivations., • Discussion with the Product Manager and Engineering Manager about your experience, ambitions, and fit within Cobee by Pluxee Data Product Team., • Technical conversation with team members, including a data modeling challenge to explore your SQL, dbt, and schema design skills. 🏅 Your team You’ll be part of the Data Product Team, embedded in a specific product domain within Cobee by Pluxee. Day-to-day you’ll work alongside the product engineers and Tech Lead in your domain. You stay connected to the broader data team through the Data Council, where all embedded engineers align on standards, review each other’s Silver changes, and share learnings across domains. 📍 Your Location: Spain ☀️ Happy at work A meaningful job: Be the change! Help us build the future of employee benefits by bringing to life sustainable and personalized experiences and contribute to making a real impact on millions of lives. Our business model delivers not just for individuals but their communities too, by supporting local businesses and economies. A great culture: People matter – a lot! Be part of a multicultural team that moves as one in a fast paced and innovative environment. We respect and care authentically about our people, we embrace wellbeing and work-life balance, new ideas and we have a lot of fun! An empowering environment: Be yourself! At Pluxee we proudly embrace diversity and value the uniqueness of our talents, fostering an inclusive work place where all abilities are celebrated, and equal learning and growing opportunities are a given.

Pluxee is a global player in employee benefits and engagement that operates in 28 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits. Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants. Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet. 🚀 Your next challenge Cobee by Pluxee is changing how it builds its data model. Instead of a centralised team building global entities, each product domain will own and maintain its own data layer. You'll be one of the engineers making that shift happen. As an Analyst Engineer, you'll embed in a product domain and build the transformation layer between raw data and business consumption. You'll take Bronze data and turn it into a reliable, well-tested Silver layer, applying the same discipline to data models that a software engineer applies to application code. Your output isn't insights or reports. It's production-grade models other teams can depend on. You'll work closely with the product team in your domain, coordinate with centralised Data Engineers on upstream changes, and take part in the Data Council, the cross-domain group that keeps standards consistent as the distributed model scales. 💻 What you’ll be doing As an Analyst Engineer, you will: • Build and maintain production-grade data models following industry best practices and established data engineering standards., • Design stable and well-structured data schemas with clear naming conventions, defined granularity and documented business logic., • Implement automated data quality controls, including tests, validations, and business-rule checks as part of the development lifecycle., • Monitor and maintain data reliability, proactively identifying and resolving data quality, freshness, and performance issues., • Manage data model evolution through versioning, change management, and clear communication with downstream consumers., • Work within a modern software engineering workflow using Git, pull requests, code reviews, and CI/CD practices., • Collaborate with cross-functional teams to ensure data solutions align with business requirements and organizational standards., • Contribute to data governance initiatives, promote best practices, and share knowledge across teams. 🌟 You’re a match • Solid SQL skills, including window functions, CTEs, incremental processing patterns, and optimization techniques., • Hands-on experience with dbt, including modeling, testing, documentation, macros, and package management., • Strong understanding of data modeling concepts, such as dimensional modeling, schema design, snapshotting, and incremental approaches., • A software engineering workflow: git, pull requests, and CI/CD for data, treating dbt models as production code., • Familiarity with data quality frameworks, monitoring, observability, and anomaly detection practices., • Ability to translate business requirements into scalable and maintainable data models and data products., • Experience working in cross-functional teams and communicating technical decisions clearly to non-data engineers., • Experience with ClickHouse is a plus., • You’ll thrive in this role if you’re comfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment. 🔎 To get this challenge • Video call with a member of the People team to get to know you and your motivations., • Discussion with the Product Manager and Engineering Manager about your experience, ambitions, and fit within Cobee by Pluxee Data Product Team., • Technical conversation with team members, including a data modeling challenge to explore your SQL, dbt, and schema design skills. 🏅 Your team You’ll be part of the Data Product Team, embedded in a specific product domain within Cobee by Pluxee. Day-to-day you’ll work alongside the product engineers and Tech Lead in your domain. You stay connected to the broader data team through the Data Council, where all embedded engineers align on standards, review each other’s Silver changes, and share learnings across domains. 📍 Your Location: Spain ☀️ Happy at work A meaningful job: Be the change! Help us build the future of employee benefits by bringing to life sustainable and personalized experiences and contribute to making a real impact on millions of lives. Our business model delivers not just for individuals but their communities too, by supporting local businesses and economies. A great culture: People matter – a lot! Be part of a multicultural team that moves as one in a fast paced and innovative environment. We respect and care authentically about our people, we embrace wellbeing and work-life balance, new ideas and we have a lot of fun! An empowering environment: Be yourself! At Pluxee we proudly embrace diversity and value the uniqueness of our talents, fostering an inclusive work place where all abilities are celebrated, and equal learning and growing opportunities are a given.

About Reactev Reactev is Minderest's AI-powered pricing engine, purpose-built for enterprise retailers and D2C manufacturers competing in dynamic, multi-channel markets. Our platform combines real-time competitive intelligence with machine-learning-driven price optimization — enabling commercial teams to move from reactive pricing to autonomous, revenue-maximizing strategies. Backed by Minderest's 400+ customer base across 50+ countries, Reactev is our next-generation AI pricing engine — and we're now accelerating its adoption both within our existing client portfolio and through targeted new logo acquisition. For commercial teams at enterprise retailers and D2C manufacturers, Reactev means moving from reactive pricing to autonomous, revenue-maximizing strategies: higher margins, reduced manual workload, and the competitive clarity to win on price without sacrificing profitability. The Role We are looking for a Senior Business Development Manager to lead enterprise sales efforts across DACH and broader European markets. You will be the primary driver of new logo acquisition among top-tier retailers and D2C manufacturers, guiding prospects through a consultative sales process that connects their pricing challenges to Reactev's AI capabilities. This is a senior individual contributor role with high visibility, reporting directly to the VP of Growth. Key Responsabilities - Pipeline Development: Identify, qualify, and develop new business opportunities within enterprise retail groups, grocery chains, fashion, electronics, and D2C manufacturing brands. - AI Solution Selling: Articulate the business value of AI-driven price optimization and competitive monitoring, translating technical features into tangible commercial outcomes (margin uplift, revenue growth, repricing efficiency). - Enterprise Sales Cycle Management: Own the full sales cycle — from outbound prospecting to multi-stakeholder negotiation and contract closure — with average deal sizes in the five-to-six-figure range. - Stakeholder Engagement: Build trusted relationships with pricing managers, category directors, CFOs, and CIOs within target accounts. - Market Intelligence: Track competitive dynamics across the price optimization and pricing intelligence landscape; feed insights back to Product and Marketing teams. - Go-to-Market Execution: Collaborate with Marketing on ABM campaigns, event presence, and thought leadership initiatives targeting retail and D2C audiences. - Forecasting & CRM Hygiene: Maintain accurate pipeline data in HubSpot, deliver reliable revenue forecasts, and contribute to quarterly planning. - Brand Presence: Represent Reactev at industry events, trade fairs, and webinars — reinforcing our position as the leading AI pricing solution for retailers and manufacturers. Your Profile - Native or bilingual fluency in German and Spanish (written and spoken); strong English proficiency required. Additional European languages a plus. - 3–5 years of B2B SaaS sales experience in business development or enterprise account executive roles. - Domain familiarity with retail technology, e-commerce, pricing software, or supply-chain adjacent solutions is a strong advantage. - Consultative selling skills: you lead with business impact, not feature lists. - Comfortable navigating complex, multi-stakeholder buying processes within large retail or manufacturing organizations. - Proficient in HubSpot CRM, Google Suite, and modern sales engagement tools (e.g. Apollo, Outreach, LinkedIn Sales Navigator). - Data-driven mindset: you use pipeline metrics and win/loss insights to continuously improve your approach. - Strong written communication skills — capable of crafting sharp outbound sequences and executive-level proposals. Your Benefits from being part of our team - Competitive base salary + OTE - Career growth opportunities within a fast-growing company. - Permanent, full-time contract. - ⌚ Flexible working hours and three free afternoons per week, all year round. - Hybrid work model for those based in Murcia (Spain); full remote for all other locations. - Comprehensive private health insurance with no co-payments. - Annual budget for individual technical training for every employee. - Flexible remuneration (meal vouchers, transport, or childcare). - ♂ Well-being focus: We take care of your physical and emotional health through Wellhub. - Regular after-work events and team-building activities. - ☕ Free coffee and tea at our offices. - Culture: Join a youthful, diverse, and global organization. Selection Process Our process is designed to be transparent, rigorous, and respectful of your time: - Initial screen with HR Recruiter (~30 min) - Deep-dive interview with VP of Growth - Case study: GTM scenario for a new retail market - Role play: enterprise discovery & pitch simulation - Language proficiency assessment (German, Spanish & English) - Final conversation with CEO and Head of People Minderest is a company committed to equal opportunities for everyone, where all individuals are welcome, valued, and respected. Our Equality and LGBTQ+ Plan reflects this commitment, ensuring a work environment where your professional development is a priority.

Agentic Quality Lead / Manager – Tech for Good Oliver Bernard are currently working with a Tech for Good client of ours who are looking to take on an Agentic Quality Lead / Manager to drive their Quality Engineering team towards a 'Quality as a Service' model and integrate / embed their processes into broader centralised Quality function. The incoming profile will need to have experience from a technical leadership perspective, and be able to drive Quality best practices to the extent that it removes their QA Engineers from Product teams and creates a self-sufficient and Autonomous Quality function that is comfortable on its own two feet - without reliance on other teams across the business. To be suitable for this position, the following expertise is required: • Experience building Agentic Quality platforms to drive efficiencies across engineering teams (with prior experience developing and driving AI workflows), • Background as a technical QA / SDET, with prior experience writing clean code and developing test automation frameworks with Java, JavaScript / TypeScript, and Playwright, • Must have prior experience designing Test Architecture, and driving how this is implemented business-wide, • Strong people management experience, comfortable managing a teams and helping empower engineers to upskill and develop in their careers, • Able to drive a QA strategy and successfully implement roadmaps, • Stakeholder friendly and comfortable communicating with various different teams across the business This is able to offer €80-100K for the right profile, and is a remote first position with the occasional visit to European offices. Please apply here to register interest in this opportunity. Agentic Quality Lead / Manager – Tech for Good

Senior Software Engineer Location: Remote Engagement Type: Contractor (~15 hours/week) Compensation: $100–$150/hour About the Opportunity This opportunity is for experienced Software Engineers interested in contributing to advanced AI research and evaluation projects. The role involves applying deep software engineering expertise to help improve the reasoning, problem-solving, and tool-usage capabilities of next-generation AI systems. You will create Reinforcement Learning (RL) environments that evaluate AI models on real-world software engineering tasks such as bug fixing, feature implementation, code refactoring, and performance optimization. These environments will leverage Model Context Protocol (MCP) tools and require the creation of reproducible tasks, deterministic verification methods, and high-quality reference solutions. Ideal Qualifications • Strong proficiency in one or more of the following languages:, • Python, • Java, • Rust, • C++, • Go, • TypeScript, • Deep understanding of algorithms, data structures, and software performance optimization., • Experience debugging complex software issues and delivering maintainable solutions., • Strong background in feature development, codebase refactoring, and software architecture., • Excellent written and verbal communication skills., • Ability to work independently and collaborate effectively in remote environments. Responsibilities • Design and build Reinforcement Learning environments that test software engineering capabilities., • Create tasks involving bug fixing, feature implementation, code refactoring, and performance optimization., • Develop reproducible evaluation environments and deterministic verification systems., • Produce high-quality reference solutions and technical documentation., • Evaluate AI-generated solutions for correctness, efficiency, and software engineering best practices., • Contribute expertise to improve AI model reasoning and tool usage capabilities., • Collaborate with engineers and researchers to maintain high-quality evaluation standards. Preferred Qualifications • Experience working with large-scale distributed systems and codebases., • Familiarity with AI, machine learning, or developer tools is a plus., • Experience conducting code reviews and contributing to software engineering best practices. Compensation • Competitive compensation of $100–$150/hour., • Weekly payments., • Independent contractor engagement. Application Process • Apply to the role and complete screening questions., • Complete an AI Interview (approximately 30 minutes)., • Participate in a Technical Assessment (if required)., • Hiring Manager Review.

Senior Software Engineer Location: Remote Engagement Type: Contractor (~15 hours/week) Compensation: $100–$150/hour About the Opportunity This opportunity is for experienced Software Engineers interested in contributing to advanced AI research and evaluation projects. The role involves applying deep software engineering expertise to help improve the reasoning, problem-solving, and tool-usage capabilities of next-generation AI systems. You will create Reinforcement Learning (RL) environments that evaluate AI models on real-world software engineering tasks such as bug fixing, feature implementation, code refactoring, and performance optimization. These environments will leverage Model Context Protocol (MCP) tools and require the creation of reproducible tasks, deterministic verification methods, and high-quality reference solutions. Ideal Qualifications • Strong proficiency in one or more of the following languages:, • Python, • Java, • Rust, • C++, • Go, • TypeScript, • Deep understanding of algorithms, data structures, and software performance optimization., • Experience debugging complex software issues and delivering maintainable solutions., • Strong background in feature development, codebase refactoring, and software architecture., • Excellent written and verbal communication skills., • Ability to work independently and collaborate effectively in remote environments. Responsibilities • Design and build Reinforcement Learning environments that test software engineering capabilities., • Create tasks involving bug fixing, feature implementation, code refactoring, and performance optimization., • Develop reproducible evaluation environments and deterministic verification systems., • Produce high-quality reference solutions and technical documentation., • Evaluate AI-generated solutions for correctness, efficiency, and software engineering best practices., • Contribute expertise to improve AI model reasoning and tool usage capabilities., • Collaborate with engineers and researchers to maintain high-quality evaluation standards. Preferred Qualifications • Experience working with large-scale distributed systems and codebases., • Familiarity with AI, machine learning, or developer tools is a plus., • Experience conducting code reviews and contributing to software engineering best practices. Compensation • Competitive compensation of $100–$150/hour., • Weekly payments., • Independent contractor engagement. Application Process • Apply to the role and complete screening questions., • Complete an AI Interview (approximately 30 minutes)., • Participate in a Technical Assessment (if required)., • Hiring Manager Review.

Agentic Quality Lead / Manager – Tech for Good Oliver Bernard are currently working with a Tech for Good client of ours who are looking to take on an Agentic Quality Lead / Manager to drive their Quality Engineering team towards a 'Quality as a Service' model and integrate / embed their processes into broader centralised Quality function. The incoming profile will need to have experience from a technical leadership perspective, and be able to drive Quality best practices to the extent that it removes their QA Engineers from Product teams and creates a self-sufficient and Autonomous Quality function that is comfortable on its own two feet - without reliance on other teams across the business. To be suitable for this position, the following expertise is required: • Experience building Agentic Quality platforms to drive efficiencies across engineering teams (with prior experience developing and driving AI workflows), • Background as a technical QA / SDET, with prior experience writing clean code and developing test automation frameworks with Java, JavaScript / TypeScript, and Playwright, • Must have prior experience designing Test Architecture, and driving how this is implemented business-wide, • Strong people management experience, comfortable managing a teams and helping empower engineers to upskill and develop in their careers, • Able to drive a QA strategy and successfully implement roadmaps, • Stakeholder friendly and comfortable communicating with various different teams across the business This is able to offer €80-100K for the right profile, and is a remote first position with the occasional visit to European offices. Please apply here to register interest in this opportunity. Agentic Quality Lead / Manager – Tech for Good

Pluxee is a global player in employee benefits and engagement that operates in 28 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits. Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants. Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet. 🚀 Your next challenge Cobee by Pluxee is changing how it builds its data model. Instead of a centralised team building global entities, each product domain will own and maintain its own data layer. You'll be one of the engineers making that shift happen. As an Analyst Engineer, you'll embed in a product domain and build the transformation layer between raw data and business consumption. You'll take Bronze data and turn it into a reliable, well-tested Silver layer, applying the same discipline to data models that a software engineer applies to application code. Your output isn't insights or reports. It's production-grade models other teams can depend on. You'll work closely with the product team in your domain, coordinate with centralised Data Engineers on upstream changes, and take part in the Data Council, the cross-domain group that keeps standards consistent as the distributed model scales. 💻 What you’ll be doing As an Analyst Engineer, you will: • Build and maintain production-grade data models following industry best practices and established data engineering standards., • Design stable and well-structured data schemas with clear naming conventions, defined granularity and documented business logic., • Implement automated data quality controls, including tests, validations, and business-rule checks as part of the development lifecycle., • Monitor and maintain data reliability, proactively identifying and resolving data quality, freshness, and performance issues., • Manage data model evolution through versioning, change management, and clear communication with downstream consumers., • Work within a modern software engineering workflow using Git, pull requests, code reviews, and CI/CD practices., • Collaborate with cross-functional teams to ensure data solutions align with business requirements and organizational standards., • Contribute to data governance initiatives, promote best practices, and share knowledge across teams. 🌟 You’re a match • Solid SQL skills, including window functions, CTEs, incremental processing patterns, and optimization techniques., • Hands-on experience with dbt, including modeling, testing, documentation, macros, and package management., • Strong understanding of data modeling concepts, such as dimensional modeling, schema design, snapshotting, and incremental approaches., • A software engineering workflow: git, pull requests, and CI/CD for data, treating dbt models as production code., • Familiarity with data quality frameworks, monitoring, observability, and anomaly detection practices., • Ability to translate business requirements into scalable and maintainable data models and data products., • Experience working in cross-functional teams and communicating technical decisions clearly to non-data engineers., • Experience with ClickHouse is a plus., • You’ll thrive in this role if you’re comfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment. 🔎 To get this challenge • Video call with a member of the People team to get to know you and your motivations., • Discussion with the Product Manager and Engineering Manager about your experience, ambitions, and fit within Cobee by Pluxee Data Product Team., • Technical conversation with team members, including a data modeling challenge to explore your SQL, dbt, and schema design skills. 🏅 Your team You’ll be part of the Data Product Team, embedded in a specific product domain within Cobee by Pluxee. Day-to-day you’ll work alongside the product engineers and Tech Lead in your domain. You stay connected to the broader data team through the Data Council, where all embedded engineers align on standards, review each other’s Silver changes, and share learnings across domains. 📍 Your Location: Spain ☀️ Happy at work A meaningful job: Be the change! Help us build the future of employee benefits by bringing to life sustainable and personalized experiences and contribute to making a real impact on millions of lives. Our business model delivers not just for individuals but their communities too, by supporting local businesses and economies. A great culture: People matter – a lot! Be part of a multicultural team that moves as one in a fast paced and innovative environment. We respect and care authentically about our people, we embrace wellbeing and work-life balance, new ideas and we have a lot of fun! An empowering environment: Be yourself! At Pluxee we proudly embrace diversity and value the uniqueness of our talents, fostering an inclusive work place where all abilities are celebrated, and equal learning and growing opportunities are a given.

Agentic Quality Lead / Manager – Tech for Good Oliver Bernard are currently working with a Tech for Good client of ours who are looking to take on an Agentic Quality Lead / Manager to drive their Quality Engineering team towards a 'Quality as a Service' model and integrate / embed their processes into broader centralised Quality function. The incoming profile will need to have experience from a technical leadership perspective, and be able to drive Quality best practices to the extent that it removes their QA Engineers from Product teams and creates a self-sufficient and Autonomous Quality function that is comfortable on its own two feet - without reliance on other teams across the business. To be suitable for this position, the following expertise is required: • Experience building Agentic Quality platforms to drive efficiencies across engineering teams (with prior experience developing and driving AI workflows), • Background as a technical QA / SDET, with prior experience writing clean code and developing test automation frameworks with Java, JavaScript / TypeScript, and Playwright, • Must have prior experience designing Test Architecture, and driving how this is implemented business-wide, • Strong people management experience, comfortable managing a teams and helping empower engineers to upskill and develop in their careers, • Able to drive a QA strategy and successfully implement roadmaps, • Stakeholder friendly and comfortable communicating with various different teams across the business This is able to offer €80-100K for the right profile, and is a remote first position with the occasional visit to European offices. Please apply here to register interest in this opportunity. Agentic Quality Lead / Manager – Tech for Good

Senior Software Engineer Location: Remote Engagement Type: Contractor (~15 hours/week) Compensation: $100–$150/hour About the Opportunity This opportunity is for experienced Software Engineers interested in contributing to advanced AI research and evaluation projects. The role involves applying deep software engineering expertise to help improve the reasoning, problem-solving, and tool-usage capabilities of next-generation AI systems. You will create Reinforcement Learning (RL) environments that evaluate AI models on real-world software engineering tasks such as bug fixing, feature implementation, code refactoring, and performance optimization. These environments will leverage Model Context Protocol (MCP) tools and require the creation of reproducible tasks, deterministic verification methods, and high-quality reference solutions. Ideal Qualifications • Strong proficiency in one or more of the following languages:, • Python, • Java, • Rust, • C++, • Go, • TypeScript, • Deep understanding of algorithms, data structures, and software performance optimization., • Experience debugging complex software issues and delivering maintainable solutions., • Strong background in feature development, codebase refactoring, and software architecture., • Excellent written and verbal communication skills., • Ability to work independently and collaborate effectively in remote environments. Responsibilities • Design and build Reinforcement Learning environments that test software engineering capabilities., • Create tasks involving bug fixing, feature implementation, code refactoring, and performance optimization., • Develop reproducible evaluation environments and deterministic verification systems., • Produce high-quality reference solutions and technical documentation., • Evaluate AI-generated solutions for correctness, efficiency, and software engineering best practices., • Contribute expertise to improve AI model reasoning and tool usage capabilities., • Collaborate with engineers and researchers to maintain high-quality evaluation standards. Preferred Qualifications • Experience working with large-scale distributed systems and codebases., • Familiarity with AI, machine learning, or developer tools is a plus., • Experience conducting code reviews and contributing to software engineering best practices. Compensation • Competitive compensation of $100–$150/hour., • Weekly payments., • Independent contractor engagement. Application Process • Apply to the role and complete screening questions., • Complete an AI Interview (approximately 30 minutes)., • Participate in a Technical Assessment (if required)., • Hiring Manager Review.

We're looking for an experienced Model Governance Manager with expertise in data science and advanced analytics for the application, validation, and oversight of ML/AI models, including LLMs and generative AI. You’ll challenge existing modelling processes and elevate them to new standards, support

Embedding solid model risk management practices end to end across the model lifecycle. We’re looking for a Senior Model Risk Manager who’s passionate about data and analytics and has a keen emphasis on applying ML/AI techniques to areas such as computer vision, AML/ATF, and fraud detection. Prov