Cint

Role Description The Analyst, Accounts Payable will be responsible for the end-to-end processing of vendor invoices, ensuring accuracy in financial records and maintaining strong vendor relationships. With 2–3 years of experience, the candidate is expected to handle complex reconciliations, assist in month-end closings, and identify opportunities for process automation and efficiency. Key Responsibilities - Invoice & Payment Processing - Manage the full-cycle AP process: coding, matching (2-way/3-way), and entering invoices. - Review and verify payment requests, employee reimbursements, and credit card statements. - Schedule and execute weekly payment runs (ACH, Wire etc.) while ensuring compliance with internal controls. - Vendor Management & Reconciliation - Act as the primary point of contact for vendor inquiries and dispute resolution. - Perform monthly reconciliations of vendor statements to identify and resolve discrepancies. - Month-End & Financial Reporting - Assist in the month-end closing process by preparing AP accruals and aging reports. - Reconcile the Accounts Payable sub-ledger to the General Ledger. - Monitor AP aging to ensure timely payments. - Prepare ad hoc financial reporting and analysis and complete special projects, as needed. - Compliance & Process Improvement - Ensure all payments adhere to company authorization limits and VAT/Tax compliance regulations. - Support internal and external audits by providing necessary documentation and explanations. - Suggest and implement improvements to the AP workflow to increase accuracy and reduce manual entry. Qualifications - Bachelor’s degree in Accounting, Finance, or a related field. - Minimum 2 years of dedicated experience in Accounts Payable or General Accounting. - Advanced proficiency in MS Excel (VLOOKUPs, Pivot Tables). - Hands-on experience with ERP and T&E systems (e.g., SAP, Oracle, NetSuite). - Strong understanding of GAAP and the P2P (Procure-to-Pay) cycle. - Team player with strong analytical skills and attention to detail. - Strong communication skills for negotiating with vendors and aligning with internal teams. Requirements - Experience in a multi-currency or global business environment. - High energy with ability to work in a fast-paced, dynamic environment. Benefits - #LI-PU1 - #LI-Remote Company Description Cint is a pioneer in research technology (ResTech). Our platform enables customers to ask questions and receive answers from real people, empowering them to build business strategies, confidently publish research, and accurately measure the impact of digital advertising. The Cint platform is the world’s largest programmatic marketplace with nearly 300 million respondents across more than 150 countries who consent to share their opinions, motivations, and behaviors. Cint has been listed on Nasdaq Stockholm (STO:CINT) since February 2021. The Cint group consists of 18 legal entities globally, with over 900 employees spread across 14 offices worldwide.

• Build and maintain production ML systems: Contribute to existing ML-based services, from training pipelines to production performance optimizations. • Own services end-to-end: Design, build and maintain production services - from a PoC all the way to a functional cloud deployment. • Partner with product and data science: Work with PMs, data scientists, and other engineers to translate research and business questions into shippable ML. • Understand the platform: To facilitate the above, you’ll work in Databricks, AWS and other tooling to be able to analyze, understand and present the data, metrics and insights needed to help make the best decisions for the platform. • Contribute to the team's standards: Review not just code but the ML side of the work as well - evaluation standards, model documentation etc. • Leverage AI tooling: Use Claude Code and agentic programming tools to accelerate the boilerplate so you can focus on the modelling decisions that actually matter.

• Own the Vision: Develop and promote a product vision for your part of Cint’s Exchange. • Tell the Story: Masterfully articulate the "why" behind your product strategy. • Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. • Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical trade-offs. • Partner to Win: Build strong, trusted relationships with key stakeholders across R&D, Data Science, Commercial, Operations, Legal, and Marketing to ensure cross-functional alignment and a successful go-to-market.

Role Description As a Data Scientist at Cint, you will play a pivotal role in developing next-generation AI solutions that power our product portfolio. Collaborating closely with Product and Engineering teams, you will bridge the gap between traditional research data and synthetic intelligence. You will focus on the research, validation, and delivery of models—including Large Language Models (LLMs)—that augment high-quality human signals across the Cint Exchange. This role involves advanced data mining, robust data validation, and the development of sophisticated statistical and machine learning methodologies. The ideal candidate can independently research, develop, and maintain high-impact solutions that align Cint’s AI capabilities with market research trends, contributing to the technical roadmap for Cint’s proprietary synthetic data platform. Responsibilities - Contribute to the research, discovery, and development of machine learning models - specifically focused on synthetic row generation, open-ended text generation, and data augmentation. - Execute statistical tests and experiments to validate LLM performance and synthetic modeling hypotheses. - Develop logic for on-demand and dynamic boosting capabilities, collaborating with Engineering to integrate these models into Cint Exchange fielding workflows. - Design and refine sophisticated profiling taxonomies, leveraging large-scale datasets to create syndicated audiences. - Manage technical workflows and development cycles with guidance. - Collaborate with Product and Engineering teams to support integration. - Create clear, effective prototypes and deliverables that explain and defend complex Generative AI concepts to both technical and non-technical audiences. Qualifications - Minimum 2-4 years of experience in a Data Science capacity, with experience delivering end-to-end data science solutions. - A Master's degree (or equivalent) in Statistics, Data Science, or a related quantitative field. - Deep understanding of Generative AI and LLMs, particularly for applications in text generation and data synthesis. - Advanced knowledge of statistical techniques: hypothesis testing, sampling theory, experimental design, and causal inference. - Strong knowledge of a variety of ML techniques (e.g., clustering, regression, neural networks, etc.) and their real-world trade-offs. - Expert proficiency in Python (DS/ML stack) and experience with frameworks used for LLM development and fine-tuning. - Advanced SQL skills and experience working with large-scale databases. - Ability to research and adopt new methods. Essential Qualities - Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results. - Strong data-driven mindset with the ability to translate abstract business requests into actionable AI initiatives and solutions. - Excellent written and verbal communication skills, with the ability to communicate technical findings clearly. Nice to Have - Direct experience with Synthetic Data Generation techniques and the evaluation of synthetic data quality/utility. - Experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), or fine-tuning open-source LLMs for open-end generation. - Experience with probabilistic modeling, or advanced profiling techniques. - Familiarity with online market research or survey exchange platforms. - Experience using Databricks, Spark, or PySpark for large-scale workflows. Additional Information - #LI-Remote Our Values - Collaboration is our superpower. - Innovation is in our blood. - Our curiosity is insatiable. - We do what we say. - Excellence comes as standard. - We are caring. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney.

• Manage the full-cycle AP process: coding, matching (2-way/3-way), and entering invoices • Review and verify payment requests, employee reimbursements, and credit card statements • Schedule and execute weekly payment runs (ACH, Wire etc.) • Act as the primary point of contact for vendor inquiries and dispute resolution • Perform monthly reconciliations of vendor statements to identify and resolve discrepancies • Assist in the month-end closing process by preparing AP accruals and aging reports • Ensure all payments adhere to company authorization limits and VAT/Tax compliance regulations • Suggest and implement improvements to the AP workflow to increase accuracy and reduce manual entry

• Enhance the Cint Exchange's Ordering platform • Collaborate with UX designers and product managers • Drive tasks and build relationships across teams • Provide on-call support for production systems • Contribute to a reusable design system and identify improvements

Role Description Cint seeks an experienced, SaaS product-savvy Senior Product Designer to join our growing team. We seek a strong cross-functional candidate with creativity and strategic vision to help shape the customer experiences of our suite of products. This person will be an advocate for great design and will be responsible for the delivery and output of quality and timely design deliverables. In This Role, You’ll Be Responsible For: - Championing exceptional user experience solutions across the suite of Cint products within the context of our customers, the business, and the market - Conducting user testing and user interviews to discover unmet needs, fuel product insights, and drive innovation - Ideating on strategic design solutions with other members of the Product Design team, stakeholders, and partners - Creating high-quality design artifacts, including user requirements, personas, storyboards, workflows, wireframes, high-fidelity visual comps, and design prototypes - Translating complex systems into tangible, simple, UI concepts and demonstrating these concepts through strong storytelling and rapid prototyping - Conducting user tests with customers to validate design solutions - Documenting your design thinking, findings, and proposals and communicating these effectively to product teams and leadership - Apply and contribute to our shared design system, ensuring visual consistency and design efficiency across all products - Collaborating closely with an interdisciplinary team that includes other designers, researchers, writers, business and brand strategists, product and engineering leads, and software developers - Partnering with engineering teams to bring user-centered design solutions to market Qualifications - You have a love of design and a passion for creative excellence, great user experiences, and outstanding visual communication - You can think and work strategically and conceptually. You understand that design is much more than a veneer - Demonstrated visual design skills with an ability to solve complex user problems with a beautifully intuitive interface - You possess in-depth knowledge of user experience design processes and methodologies across desktop, mobile, and native apps - You have a working knowledge of accessibility standards and best practices for inclusive design - You're confident when designing and presenting work and humble enough to accept feedback and direction - You have experience testing prototypes and love seeing your work transformed into products that customers want and love to use - You're passionate about all things product design and showcase an in-depth knowledge of the industry's latest trends and technologies - You have an open mind, and the ability to thrive in multidisciplinary teams is at the core of who you are as a designer Requirements - 5+ years of experience in a product design or UX design role, preferably on a product team working on complex, technical SaaS products with a B2B focus - Expertise in modern design and collaboration tools—specifically Figma (experience with variables and auto-layout is a plus) - Experience working with and contributing to design systems or component libraries - Previous experience working with developers, product managers, and designers in a collaborative environment Benefits - Collaboration is our superpower - We uncover rich perspectives across the world - Success happens together - We deliver across borders - Innovation is in our blood - We’re pioneers in our industry - Our curiosity is insatiable - We bring the best ideas to life - We do what we say - We’re accountable for our work and actions - Excellence comes as standard - We’re open, honest, and kind, always - We are caring - We learn from each other’s experiences - Stop and listen; every opinion matters - We embrace diversity, equity, and inclusion

• Reinforce the engineering team bandwidth by designing complex systems • Engage in high-quality code writing and timely delivery • Collaborate with top-level engineers to ensure world-class product delivery

• Assess and decide on the current pipeline • Build the shared AI/ML platform • Oversee the full ML lifecycle • Own training infrastructure on Databricks and Unity Catalog • Build the serving layer • Build the observability for models • Set patterns for cost-effective training and serving • Act as a mentor • Drive AI tooling adoption

• Assess and decide on the current pipeline • Build the shared AI/ML platform • Oversee the full ML lifecycle • Own training infrastructure on Databricks and Unity Catalog • Model serving • Monitoring and drift • Cost and performance • Mentor and multiply • Drive AI tooling adoption