YayPay is a fast-growing company with offices in New York, London, and an engineering team in Ukraine (Kyiv, Dnipro).
30 июня 2021

Customer Support (Implementation Specialist) (вакансия неактивна)

Киев, Днепр, удаленно

Необходимые навыки

— Bachelor’s degree, preferably in Accounting, Finance, Business Administration, Business Information Systems, or another related field
— 2 to 5+ years experience implementing one or more ERP application such as SAP, Oracle-NetSuite, Sage, or Microsoft Dynamics; Knowledge of CRM such as Salesforce a plus
— Excellent understanding of accounting processes, including accounts receivables / OTC (order to cash) workflow and revenue management
— An understanding of a startup environment, a passion for customer success and helping to build a company from the ground floor
— Sound business acumen skills; thrive in a fast-paced, dynamic environment
— Strong organizational skills, attention to detail, and ability to manage a tight schedule
— Excellent problem solving, critical thinking, and analytical skills, including using Excel
— Excellent spoken and written communication, interpersonal, relationship building skills
— Strong presentation and group facilitation skills
— Ability to work both independently and with a team
— Comfortable working with multiple internal teams, from individual contributors to senior executives, as well as building/maintaining relationships with clients, partners, etc.
— Experienced in global markets, customs and individual country business protocols and dynamics
— Highly motivated and independent contributor
— High energy, enthusiasm, and passion for the business

Предлагаем

— Flexible working hours
— A comfortable office in Kyiv with all the standard supplies(or you can work from home)
— A high-level (A1) corporate insurance from Uniqa
— Tax compensation
— Equipment (laptops, screens etc.)
— Educational and professional development support

Обязанности

— Work closely with the sales team during the sales cycle to demo our product and help sell our onboarding services
— Work directly with clients to determine their requirements and configuration options for their onboarding to the YayPay platform
— Develop and refine implementation & onboarding functional and technical documentation
— Act as a technical main point of contact for clients and YayPay’s development team during the onboarding process
— Coordinate specific client requests for custom enhancements with Product and Engineering teams
— Research specific issues for Clients to analyze the root cause of a reported observation, including analysis within Client’s Production environment, ERP, CRM, etc.

О проекте

YayPay is building a cutting-edge accounts receivable management software that uses machine learning to help finance teams become revenue heroes. YayPay’s vision to help finance teams perform their most valuable work. We’re a rapidly growing company at the forefront of back-office automation, AI, and machine learning. YayPay is also one of the leaders of the industry in terms of user experience and consumerization of enterprise software.

From the technology perspective, YayPay Platform is a SaaS offering, which integrates with a number of different systems, such as:

— ERP systems to pull accounts receivable data from (e.g. NetSuite, Intacct, Sage X3 etc.)
— CRM systems, like SalesForce to pull and push relevant customer information
— Payment Providers to allow CreditCard and ACH to be made through the platform
— Credit Providers like CreditSafe to pull credit information

The application currently undergoes the phase of the active new feature development — we are working on building new modules: Reporting & Analytics Module, Credit Module, Cash Application Module.

The application is built on Service-Oriented Architecture, with the use of Kubernetes and technologies around it.

The main technology stack is described below:

— Back-End: Java 11, Spring Framework, Hibernate, MySQL, Kafka, Exasol
— Front-End: VueJS and KendoUI
— Machine Learning: Python and relevant machine learning libraries are used for the ML services
— Hosting: the application is hosted on AWS, with extensive use of the native AWS services