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The Solutions Architect at Algolia will guide enterprise customers in deploying AI search solutions, provide technical advice, and enhance product usage. Responsibilities include consulting on architecture, troubleshooting issues, conducting training, and collaborating with internal teams to improve customer success and product development.

The Senior Site Reliability Engineer will operate and optimize Algolia's Search products, enhancing reliability and performance through automation, monitoring, and incident management. Collaborating with engineering teams to support scalable architectures is essential.

The Senior Platform Engineer will lead projects for the Dashboard Platform, focusing on backend infrastructure automation and enhancing developer experience using modern tools and practices.

Drive technical pre-sales activities: qualify requirements, demo product, build proofs-of-concept and prototypes, support partner-led motions, translate customer needs to Product/Engineering, enable internal teams, and ensure smooth transition to post-sales onboarding.

The role involves contributing to the operation and deployment of the Dashboard Platform, focusing on infrastructure automation, collaboration with developers, and delivering optimal developer experiences.

Design and develop the Metis system, ensuring its quality in a remote team while operating and maintaining distributed systems.

The Senior Site Reliability Engineer will support the AI Research team by ensuring infrastructure stability, overseeing production services on GCP using Kubernetes, and improving CI/CD pipelines while collaborating closely with researchers and engineers.

The Director of Product for AI Search at Algolia will lead product vision, strategy, team management, and customer engagement, driving innovation in AI-powered search technology.

Lead and scale a global Solutions Engineering organization, manage regional SE managers, design AE-aligned operating model, drive consultative pre-sales (discovery to close), partner with Product/Engineering/Customer Success, champion AI-driven SE productivity, recruit and develop talent, and drive KPIs, quota attainment, and ROI-focused value engineering across regions.

As a Customer Success Engineer at Algolia, you will ensure customer adoption and success of the search platform by providing technical onboarding, solution design, and support. You will advise customers on best practices, deliver workshops, and collaborate with internal teams to improve customer experience and outcomes.