Jobs at Search Discovery

Serve as the bridge between developers, functional analysts, and business stakeholders. Configure Adobe Experience Platform and Customer Journey Analytics data connections, data views, metrics, and dimensions. Define business requirements, build dashboards and reporting solutions, manage project workflows in Jira, and translate technical configurations and data insights for technical and non-technical audiences. The role requires strong analytics experience and may involve Adobe Journey Optimizer, cloud analytics platforms, and consulting experience.

Lead and grow Further's Google Cloud pipeline by engaging C-level and technical stakeholders, developing account-based and vertical solutions on GCP, building strategic relationships with Google and internal teams, driving opportunity identification and proposal development, and maturing qualified pipeline to booked revenue.

Lead development of Google Cloud (GCP) account pipeline by engaging C-level and technical stakeholders, building account-based growth plans, driving cloud migration roadmaps, and partnering with sales and industry teams to convert a qualified pipeline into booked revenue and consumption growth.

The Product Owner will lead AI-enabled product initiatives, translating business needs into product features while collaborating with cross-functional teams and managing stakeholder expectations.

The Data Architect will design and maintain the data infrastructure, focusing on data governance, AI/ML integration, and supporting analytics through schema evolution and transactional data architecture.

The Cloud Migration Engineer will design and execute infrastructure migrations to GCP, manage client communications, and ensure zero data loss while leveraging Terraform for repeatable processes.

Lead the UX/IA strategy for data-driven decisions, designing information architecture, maintaining design systems, and mentoring designers while enhancing client relationships.

The Senior Cloud Engineer will lead architecture and implementation of web applications, mentor junior developers, and establish development best practices.

The Senior AI Engineer will develop cloud-based AI products, architect systems for LLMs, and provide technical guidance, while ensuring high standards and performance.