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We're looking for a Senior Backend Engineer to join our team!
A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like Typescript, Node.js, AWS and scalable databases to build a unique experience in the world of B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

As a Product Design Lead at our company, youll drive the end-to-end design strategy and execution, ensuring solutions are user-centered, accessible, and aligned with business objectives. Leading a team of designers, youll partner closely with cross-functional teams to translate complex financial concepts into clear, intuitive experiencesblending strategic vision with hands-on design, research, and data-informed decisions
A day in the life and how youll make an impact:
Lead End-to-End Design Execution: Guide the full design processfrom discovery and user flows to high-fidelity UI and interaction designto deliver exceptional, user-centered experiences.
Collaborate Across Disciplines: Partner with Product Managers, Engineers, Data Scientists, and Content Designers to align on vision, explore feasibility, and ensure seamless implementation.
Mentor and Develop Designers: Strengthen team outcomes by advocating for high design standards, exchanging feedback, and encouraging skill development across the team.
Design with Purpose and Insight: Leverage both qualitative research and quantitative data to inform decisions, validate solutions, and iterate based on user feedback.
Champion Design Thinking: Advocate for the user, and craft compelling narratives that clearly communicate design intent and strategy to a broad range of stakeholders.
Help build and evolve our design system for consistency across touchpoints.

As a Data Analyst at our company you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep our company a data driven company. You will play a key role in the ability of each team at our company to keep scaling!
How your day is going to look, what you will be doing?
- Helping each team to take decisions based on data by:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Define and implement KPIs across different teams
Accompany product features from tech design to feature performance
Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.

Were looking for a Content Marketing Manager, reporting to the Team Lead, Content Marketing in the UK.
Why is this role so important?
As a Content Marketing Manager you will create, edit, and support the development of high-quality, data-driven content that enhances customer experiences, communicates our unique value proposition, and supports our marketing sales funnel. The role demands expertise in AI-powered content creation, SEO, and digital storytelling, along with a passion for insights creation. You must be a self-starter, pay careful attention to detail, and be comfortable in an ever-changing environment.
Youll play a pivotal role in positioning our product verticals across marketing, sales, strategy, and research audiencespartnering closely with Product Marketing to drive awareness, adoption, and pipeline. This is a hybrid role that blends editorial excellence, AI-enabled content execution, and go-to-market alignment. Youll help shape the voice in a fast-moving digital landscape while building scalable systems for high-impact content delivery.
This is a hands-on position, meaning you must have the ability to quickly turn around content requests for our field marketing teams across the globe and support the execution of multiple content deliverables simultaneously. If you excel in content creation, AI integration, digital marketing, and competitive intelligence, this opportunity is for you.
So, what will you be doing all day?
Crafting engaging, data-driven content: Develop high-impact blog posts, white papers, case studies, reports, and landing pages targeted at business leaders in marketing, analytics, category management, and ad sales.
Building and executing a content strategy: Support go-to-market objectives across product lines by crafting compelling narratives that highlight how each solution delivers value to different customer personas.
Acting as a strategic partner to Product Marketing:
Collaborate with Product Marketing to develop messaging frameworks, product positioning content, battle cards, and solution-level content for campaigns, events, and sales enablement.
Leveraging AI to boost efficiency: Use AI-powered content tools to optimize workflows, improve SEO, and personalize content across channels.
Tools we love: ChatGPT, Character.AI, Gemini, Copy.ai, Claude, Grammarly, Flourish, Infogram, Hemingway, Midjourney, and Airtable.

We're looking for a Senior Backend Engineer to join our Platform Engineering group!
A day in the life and how youll make an impact:
Were a team within the Platform Engineering group, focused on building the foundations that power both our companys product and developer experience. Our work spans two main areas: core services like authentication, file management, and a communication platform used to reach our company users and partners; and developer experience, where we define how services are built and run - from infrastructure standards and CI/CD to deployment and observability.
We collaborate closely with all R&D teams and the architecture group, with broad influence and visibility across the company. Its an environment where strong engineers can lead, shape decisions, and make a lasting impact on how engineering is done.
Youll work side-by-side with experienced engineers to design and evolve core infrastructure and backend services that impact the entire R&D org.
Youll collaborate with other teams to answer questions, guide best practices, and help engineers get unstuck - earning trust as a go-to person for platform expertise.
Youll participate in thoughtful technical discussions, helping raise the bar for engineering quality across the board.
Youll have the freedom to innovate, take risks, and influence tech decisions with a long-term, org-wide mindset.

Required VP Product Marketing & Customer Education
This is a transformative leadership role reporting directly to the CMO. Youll lead a high-performing team responsible for solution positioning, messaging, competitive differentiation, go-to-market strategy, analyst relations, and customer-facing storytelling. Youll bring together strategy and execution, uniting internal stakeholders around a cohesive narrative and enabling our teams to speak with one voice across every touchpoint.
Were looking for a proven leader who is both highly strategic and hands-onsomeone who can set a vision, inspire a team, and also roll up their sleeves to dive into messaging, launches, and customer engagement.
What You'll Do:
Lead and Grow the Team: Build, mentor, and scale a world-class product marketing team. Foster a culture of curiosity, excellence, and impact. Develop leadership capabilities across direct and skip-level reports.
Craft Messaging That Resonates: Own and evolve our messaging and positioning. Ensure it is differentiated, customer-centric, and aligned with our broader narrative. Tailor messaging for key personas across industriesfrom CMOs and strategy leaders to analysts and performance marketers.
Drive Go-to-Market Strategy: Partner with Product, Sales, and Customer Success to define and execute launch strategies for new products and features. Ensure launch excellence across content, enablement, measurement, and internal alignment.
Fuel Competitive Differentiation: Collaborate closely with our competitive intelligence and product teams to keep messaging fresh and aligned to market dynamics. Embed clear points of differentiation into every touchpointfrom sales decks to website copy.
Be a Thought Partner Across the Business: Work directly with VP- and C-level product and sales leaders as a strategic voice and challenger. Stay close to customers, analysts, and market trends to help inform product strategy and roadmap priorities.
Elevate Analyst and Market Perception: Partner with Communications and Analyst Relations to shape how we are viewed across the industry. Develop briefings, narratives, and supporting materials to influence analyst evaluations and category leadership.
Empower the Field: Collaborate with GTM teams to create the right content, tools, and training that drive commercial success. Ensure our front-line teams have what they need to deliver consistent, compelling customer experiences.
Deliver the Message Yourself: Actively participate in events, keynotes, webinars, and customer briefings as a lead storyteller for us. Represent the voice of the company and help bring our vision to life externally.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS (Redshift, S3, Glue, Managed Airflow, Lambda) to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.
Your work will directly impact business intelligence, analytics, and data-driven decision-making across the
What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.

We are looking for a highly motivated and talented Senior Business Analyst to join our Revenue Analytics team and contribute to our Go-To-Market organization's strategic decision-making process.
As a Senior Business Analyst, you will work closely with members of the Go-To-Market organization to drive impact, value, and insights using data and play a key role in our growth.
What does a Senior Business Analyst mean?
Collaborate closely with members of the Go-To-Market organization to leverage data for strategic decision-making.
Design and build dashboards to monitor business KPIs, ensuring data hygiene and integrity.
Develop models, targets, and tracking reports to measure the effectiveness of our Go-To-Market efforts.
Identify new growth opportunities and foster a data-driven culture within the Go-To-Market organization.
Communicate your findings and recommendations to stakeholders in a clear and compelling manner.
Collaborate with data engineers to integrate new data sources, enhancing our systems.

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important?
A data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.