Staff Product Manager, ML Foundations and GenAI

Coop Sverige AB

Coop Sverige – Together we make food-Sweden sustainable At Coop we are building the data backbone of a truly data-driven company. We run stores for our 4.2 million members, and our motto is “Relevance in every touchpoint.” Understanding our customers’ needs and behaviours is what fuels everything we do – from purchasing and logistics to personalised customer experiences. We are now strengthening our data organisation with an SAP Data Engineer who will help connect our strong SAP estate to the next generation of AI and analytics at Coop. About the role You will be part of our Data Platform team, which sits within Coop’s AI & Business Intelligence organisation – the team building the data foundation that powers analytics and AI across the company. This is a role at the intersection of two worlds. You will build and manage data models, transformations and integrations in SAP Datasphere and SAP Business Data Cloud (BDC) – and, just as importantly, make that SAP data flow into CAP, our Azure-based data platform, where it becomes available to data scientists, analysts and business users across the company. In other words: you don’t just build inside SAP. You make SAP data usable everywhere. You will be central to integrating our SAP S/4HANA and analytical data into CAP, so that high-quality, well-modelled data powers AI/ML, self-service analytics and better decisions throughout Coop. What you will do Develop data models, transformations and integrations in SAP Datasphere and SAP Business Data Cloud (BDC). Integrate and deliver SAP data into CAP, our Azure data platform, ensuring it is reliable, well-structured and ready for downstream analytics and AI/ML use. Refine data from SAP systems – ideally S/4HANA – into products and insights that drive real business value. Design and build engaging reports and dashboards in SAP Analytics Cloud (SAC) that make data accessible and easy to understand. Safeguard data quality, performance and usability across the full data flow. Partner with the business to turn requirements into robust, scalable technical solutions, and contribute across the whole development lifecycle – testing, troubleshooting and deployment included. Who are you? You are someone who is energised by turning data into insight and opportunity. You see the potential in building something new – and you want to be part of it from the start. You enjoy close collaboration, sharing knowledge and solving problems together, and you move naturally between thinking strategically and rolling up your sleeves to deliver. We believe that you Have experience developing and optimising data solutions in SAP Datasphere, SAP HANA or SAP BW. Have a solid command of SQL, data integration and data modelling, with an eye for quality and performance in data flows. Understand ETL processes and how to extract, transform and load data efficiently and reliably. Know CDS (Core Data Services) and how CDS views are designed for flexible, high-performance models. Are comfortable refining data from SAP source systems (ideally S/4HANA) into insights that support the business. Have experience building reports and dashboards in SAP Analytics Cloud. Can communicate and collaborate effectively in cross-functional teams, discussing solutions with both technical specialists and non-technical stakeholders. It’s meritorious if you Have hands-on experience with SAP Business Data Cloud (BDC). Have worked with cloud data platforms – preferably Azure (e.g. Databricks, data lake / medallion architecture) and understand how SAP and cloud estates connect. Have familiarity with core SAP S/4 business processes (sales, purchasing, inventory, finance). Have worked with DevOps and agile delivery. As a person, you are: Engaged and humble – you help out where it’s needed. Curious and solution-oriented – you see challenges as opportunities. Structured and thorough – you build for long-term sustainability. Communicative and collaborative – you create clarity and shared understanding. About us The grocery trade is a stable, long-term industry, and Coop’s offering is essential to the transition toward a greener, more sustainable future. You’ll join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed. Our office in Solna Business Park offers a modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager. If you have questions about the position, you are welcome to contact Hiring Manager Jakob Liljedahl (jakob.liljedahl@coop.se) or the recruiter Andreas Nilsson (Andreas.nilsson2@coop.se). Welcome with your application! For a sustainable future together:Coop is Sweden's largest cooperative and a leading player in the grocery retail sector, with over 4 million members. We focus heavily on sustainability and work to create a greener and more just future by offering sustainable products and services. We believe that a diversity of perspectives and experiences is key to creating a more inclusive and successful workplace. Therefore, we welcome everyone, regardless of gender, age, background, or ethnic origin.

Adyen

THIS IS ADYEN Adyen is the financial technology platform of choice for leading businesses, providing payments, data, and financial products in a single solution for global customers like Meta, Uber, and H&M. At Adyen, everything we do is engineered for ambition. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team, delivering innovative and ethical solutions that help businesses achieve their ambitions faster. ABOUT THE ROLE  We are seeking a highly skilled and enthusiastic Staff Software Engineer with a strong background in building reliable, scalable, and low latency systems and hands-on experience in Machine Learning (ML) applications. In this role, you will play a critical part in designing, building, and scaling systems that leverage ML to solve real-world business challenges. You are someone who is curious about new technologies, eager to learn, and passionate about using technology as a practical tool to drive meaningful business impact. You enjoy solving complex problems and thrive in environments where innovation, continuous learning, and collaboration are key. THE OPPORTUNITY  Adyen is building out its capabilities in data-driven risk management to combat financial crime and fraud across its platform. We operate at a massive global scale, enabling businesses around the world to accept payments, issue cards, and embed financial products, helping millions of business owners around the globe do business with less friction. While we have foundational elements in place, we have recently shifted our strategy to take a more holistic approach to proactively detect and mitigate financial crime and fraud.  KEY RESPONSIBILITIES * Design and develop robust, scalable software systems that integrate Machine Learning models into production environments. * Collaborate closely with product managers, data scientists, and business stakeholders to understand business problems and translate them into technical solutions. * Evaluate new technologies, frameworks, and tools, and drive their adoption where appropriate to solve real business challenges. * Mentor and guide junior engineers and peers through technical leadership and knowledge sharing. * Advocate for best practices in software engineering, and system architecture. * Continuously learn and stay up-to-date with advancements in software engineering, infrastructure, and AI technologies. * Lead technical design discussions and contribute to the strategic direction of the technology roadmap. * Close cross functional collaboration with different, non-technical functions like Account Management, Compliance, Operations etc. REQUIREMENTS * At least 10-12 years of extensive industry hands-on experience in Software Engineering and building data intensive applications, including system design, architecture, and development.  * Experience with building scalable, reliable, and low latency systems. * Strong programming skills in Java. (Python is a plus) * Experience in incident management. * Experience working with and using SQL and NoSQL databases like Postgres and Cassandra. * Knowledge of streaming & queuing frameworks.  * Deep curiosity and drive to continually learn new technologies and techniques. * Familiarity with data engineering concepts, big data tools (like Spark), and distributed data architectures. * Passion for applying technology to solve real business problems in a pragmatic and impactful way. * A good product sense and the ability to understand how research can translate into valuable applications. * Excellent communication skills and a collaborative mindset. WHY ADYEN? This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges. You’ll have direct access to massive global datasets (e.g., payments, identity data) and the ability to see your work have an immediate impact at scale. We offer an environment of ownership and speed, where a focused research team can make a significant difference. You will be at the forefront of bridging AI and fintech, shaping how these two critical areas intersect. We are looking for individuals who are eager to stay connected to the edge of innovation while ensuring we deliver practical value to our global platform.  ABOUT THE TEAM We work in the financial Crime and Fraud department. As a financial institute, we provide products to store and move finances. This comes at a risk. Fraudsters and criminals can misuse our platform to do financial crime like money laundering, and fraud like taking funds that do not belong to them. We need to be one step ahead of the fraudsters and we are also liable to report any detection of financial crime. We leverage our huge amount of data to identify actors using our platform, mitigate crime and catch fraud cases without creating friction for our genuine customers. In order to do this in a scalable and reliable manner, we have teams dedicated to figuring out the customer behind any event that goes through Adyen, do risk assessment, and make good judgement in real time as well as after the event has taken place. Day to day we work with Java, Postgres, Cassandra, Kafka, RabbitMQ, Big Data Platform, Machine Learning to equip ourselves with the right tools.  OUR DIVERSITY, EQUITY AND INCLUSION COMMITMENTS Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! WHAT’S NEXT? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Trustpilot

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team’s mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals.   We are looking for a Data Scientist to join our Trust team. You and your team will work to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams. You will also work closely with stakeholders in Legal and Platform Integrity. To succeed in this role, you should have proven experience in developing and deploying ML models, ideally using graph data. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production is expected, as you will be responsible for implementing end-to-end solutions—from data preprocessing to serving predictions.   What you will do: * Be hands-on in delivering the Applied AI / Data Science component of key strategic projects in Trust, from building and fine-tuning language models to sequence modeling, graph-based models, etc. * Develop, maintain, and deploy production-ready ML models, with tooling support from ML engineers * Engage with both technical and non-technical stakeholders and contribute to the Trust roadmap * Seize the chance to meaningfully influence our business through the latest advancements in Applied AI and keep Trustpilot on the edge of innovation when it comes to fake review detection * The opportunity to work with market-standard data engineering and deployment technologies including Google Agent Platform tools and Google BigQuery, and with leading Data Science tools and emerging technologies for model building and deployment * Opportunities to develop your career in a friendly, diverse, international team and workplace   Who you are: * Experience with analytical and quantitative problem-solving using advanced statistical techniques and machine learning methods. Particularly relevant experience: high-precision classification focus, graph neural networks, graph algorithms used within machine learning, fine tuning of large language models, working with large label sets with varying label quality, and adversarial machine learning. * Experience in building and deploying production-ready ML models at scale, and solid data engineering skills, ideally in GCP * Ability in Python and SQL for data manipulation, modeling, and scripting * Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Knowledge of behavioral data, detecting misbehavior and/or fraud at scale is a big plus * Knowledge of data pipelining and prior experience with cloud-based ML model deployments * Great communication skills - both with technical colleagues and with business stakeholders  * 2-3 years or more of technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy   What’s in it for you: * A range of flexible working options to dedicate time to what matters to you * Competitive compensation package + bonus * 25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)  * Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community * Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist * Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health * Paid parental leave * Central office with  a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price * Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials * Opportunity to join the Trustpilot Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms  * Employee discounts to restaurants and shops  Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.  We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.  Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com) quoting the role you wish to apply for.