About Us

Convey is the first outcome-oriented supply chain management technology. We provide businesses worldwide unmatched visibility into shipping and delivery and the tools to take action from international point of origin to final destination. Our clients include the world’s largest businesses spanning retail, manufacturing, and logistics services and all share in our vision for a future where supply chains are dynamic, agile and data-driven. We believe that one day every shipment in the world will be captured, analyzed & enhanced by our platform, creating better decisions and outcomes for both senders and recipients.


The Role

Convey is looking for an experienced Enterprise Software as a Service (SaaS) Technical Support Engineer to join our Customer Success team as we continue to grow our customer base and expand our relationships, products and value for each. We strive to be considered a highly strategic partner and this role ensures we achieve that goal post-implementation. 

In this highly technical role, you will serve as the primary technical contact to help some of the largest retailers solve their most challenging Tier 2 / 3 issues. This will require experienced troubleshooting techniques, escalation management, and problem-solving complex coding challenges. In addition, you will be responsible for enhancing and debugging complex integrations to ensure data is surfaced in the Convey Platform as expected. You will be in frequent email communication with our customers / partners, and will be a critical component to overall customer satisfaction after solutions are implemented.



  • Hands-on customer-facing support to reproduce, manage and confirm product / data defects
  • Gather technical information as needed to prescribe resolution steps for expected vs. actual outcomes
  • Develop tools and techniques to debug complex ETL data transformation and API integration issues involving customer and partner datasets
  • Debug data extract and ingest issues using AWS and other cloud-based tools
  • Create technical documentation to serve as a knowledge base for handling support issues and recurring data engineering tasks
  • Ensure customer inquiries are responded to within established timeframes and support service levels are achieved
  • Collaborate and communicate with internal engineering teams to measure, optimize and enhance our existing platform integrations, products, and  processes
  • Collaborate with Technical Product Manager to drive continuous improvements



  • 5+ years experience in technical support or equivalent customer-facing role with a track record of increased responsibility
  • Experience with the modern technologies of web development: Java, PHP, SQL, HTML, CSS, JavaScript, JQuery, and AWS
  • Proven ability to solve complex problems while also being a master of simplicity
  • Ability to diagnose issues in source code and strong working knowledge of SQL in order to assist in issue resolution and prioritization
  • Strong collaboration capabilities - this role is customer facing and you will routinely work with multiple internal and external teams to solve technical issues
  • Growth mindset - you grow with new products, new technologies, new customers, new relationships, and are comfortable with frequent context switches
  • Bachelor’s degree in computer science, engineering or other relevant field
  • Experience working with complex, multi-divisional, multi-geographical customers
  • A collaborative individual that can work in a fast-paced environment with technical and non-technical teams
  • Proven ability to discover root problems by asking great questions and develop creative solutions to create value for our customers
  • Bias to take action using all resources available to help our customers create a world-class delivery experience
  • Empathy for our customers and their end customers
  • Fluency in English
  • Experience in retail, ecommerce, supply chain, or logistics is not required but is ideal for the role
  • Strong process for prioritizing competing tasks and effective multitasking where necessary


Technologies We Use

  • Our application stack runs entirely on Docker – frontend and backend
  • Our infrastructure is on AWS and uses managed services whenever possible. Current examples: RDS, EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
  • Java is our language of choice for long-lived backend services
  • Python for tooling and data science
  • Postgres is our SQL database of choice
  • We have a modern Javascript frontend built on Node, React, and GraphQL
  • Collaboration tools include Google Apps Suite, JIRA & Confluence, Zendesk

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