Top Tech Jobs & Startup Jobs in Manchester

As an Enterprise Sales Engineer at Fivetran, you will collaborate with the sales team to address complex business needs of Enterprise customers, provide technical expertise on data replication solutions, and support the proof-of-value process throughout the sales cycle. You will also be responsible for delivering technical presentations and maintaining relationships with key customers.

The Senior Account Executive will sell Fivetran's technology to large enterprises in the UK, manage the full sales pipeline, and meet revenue quotas. Responsibilities include learning the product, forecasting sales, collaborating with teammates, and strategically prospecting to C-Level and technical leaders.

As a Staff Site Reliability Engineer at Fivetran, you will enhance the reliability and performance of the Fivetran Data Platform while collaborating with various teams. Responsibilities include monitoring infrastructure, implementing improvements, automating deployments, and ensuring security measures are in place.

As a Senior Software Engineer on the Developer Productivity team, you will automate manual processes and develop custom tools to enhance engineering efficiency. You will collaborate with various teams to identify automation opportunities, design solutions, and troubleshoot issues as necessary.

The Senior Software Engineer will develop and maintain data pipelines for transferring data to warehouses, create and enhance connectors, and ensure technical excellence by contributing to code and mentoring junior engineers. Responsibilities also include architectural design and team on-call duties.

The Lead Sales Engineer will support the Enterprise sales team by understanding customer needs, showcasing data replication solutions, providing technical expertise, developing presentations, and ensuring alignment with product and engineering teams.

The Principal Software Engineer will lead the architecture, design, and development of Fivetran’s Data Lake product. Responsibilities include working with product teams, developing large-scale data lake systems, solving performance issues, and ensuring operational excellence while driving innovations with open-source technologies.