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The Marketing Operations Manager will support Field, Corporate, Partner, and Product Marketing initiatives, focusing on campaign execution, data management, and marketing automation. Responsibilities include building marketing emails, managing contact lists, optimizing lead outreach processes, and analyzing marketing performance. The role involves collaboration with various teams to ensure campaign delivery and accurate reporting.

As a Technology Account Partner at Quantexa, you will advise customers on leveraging their data using the Quantexa platform. Your role includes guiding key deployment decisions, understanding customer needs, driving governance through business reviews, and ensuring successful adoption of the platform. Strong relationship management and a consultative approach are essential for collaborating with customers and internal teams to deliver effective solutions.

As a DevOps Engineer, you will manage the cloud-based infrastructure, ensuring high availability, resilience, and security of the Quantexa Cloud Platform. You'll collaborate with software engineers to implement DevOps practices, improve usability, and work on innovative cloud-based solutions for customers.

The Technical Project Manager will oversee the planning, execution, and delivery of implementation projects, ensuring optimal outcomes for clients. Responsibilities include managing commercial aspects, coaching technical teams, and maintaining stakeholder relationships, utilizing methodologies like Agile to drive project success.

Join the R&D team at Quantexa as a Scala Engineer to develop and enhance the Quantexa Platform, focusing on tackling business challenges involving fraud and data management. Collaborate within agile teams to deliver high-quality, scalable back-end solutions with a focus on functional programming and distributed systems.

As a Technical Lead, you will mentor and guide junior data engineers, manage data processing systems, and implement Quantexa’s innovative technology in various domains. Your role involves engaging with business teams and clients to translate requirements into technical tasks and collaborating with solution architects and R&D engineers on big data solutions.