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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.

The Senior Customer Success Manager at Algolia will manage client relationships, drive product adoption and retention, and ensure customer success through proactive engagement and support activities.

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.

The Senior Customer Success Manager will drive customer adoption, engage in product training, resolve issues, and build relationships with clients to ensure their success and retention.

Lead technical pre-sales engagements to drive product fit and revenue: demo, prototype, run POCs, respond to RFPs, qualify KPIs, build custom search solutions, and relay customer feedback to Product and Engineering while ensuring smooth handoffs to post-sales teams.

Drive technical pre-sales by partnering with Account Executives to perform technical discovery, demos, POCs, and RFP responses. Advocate customer needs to Product and Engineering, create technical content, enable teams, and support smooth handoffs to post-sales for successful onboarding and adoption of Algolia solutions.

The VP, AI-Native Ops & Automation will lead the redesign of the GTM operating model and embed AI and automation into organization-wide workflows, optimizing sales, marketing, and operational processes for enhanced growth and efficiency.

As a Site Reliability Engineer, you'll enhance CI/CD processes, implement observability solutions, manage Kubernetes architecture, and improve engineering practices while collaborating with teams for problem-solving.

The VP will transform R&D operations by embedding AI into product workflows, enhancing efficiency and decision-making across teams. They will lead system redesign, implement AI-driven analytics, and establish KPIs for continuous improvement.