Top Tech Jobs & Startup Jobs

The Lead Integration Engineer at Coupa will design and implement robust integration solutions, collaborate with teams to understand business requirements, and ensure the delivery of high-quality, scalable architectures. Responsibilities include building ETL/ELT processes, mentoring staff, and ensuring successful project implementation using various integration tools and languages.

Lead the quality culture on the platform by owning validation of functional and non-functional aspects, automating Ruby on Rails applications, designing testing frameworks, and improving continuous integration processes. Collaborate with the development team and enhance testing tools for product quality. Requires 3 years of experience and a Bachelor's degree in Computer Science.

The Mid-Market Account Executive at Coupa is responsible for driving new business growth within mid-market accounts, managing the sales process from lead qualification to contract award, and collaborating with various stakeholders to enhance customer relations and optimize spend management solutions.

As a Lead Software Engineer, you will design, develop, and maintain the product, collaborate with Product and Design teams, conduct code reviews, and participate in improving the platform while addressing customer issues. You'll leverage your technical expertise in .NET and front-end technologies and work in an Agile environment.

Join the dynamic Talent Strategy team at Coupa as an Instructional Designer creating engaging learning solutions in various formats, collaborating with SMEs, and supporting Talent Strategy initiatives.

Senior software engineers at Coupa are key contributors in complex projects and initiatives, responsible for quality software deliverables, design, development, maintenance, and scaling of platform systems and services. They work in a team environment, participate in operational design and code review, and advocate for best practices. The role requires expertise in .net, experience in agile environments, and strong communication skills.

The Data Quality Engineer will ensure the quality and reliability of data for AI products, perform data analysis, develop automated tests, and maintain validation frameworks. The role involves collaboration with data scientists and engineers to align on data needs and improve automation coverage.