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Own enterprise sales pipelines, manage complex multi-stakeholder SaaS sales cycles, and close strategic deals with Global 2000 organizations. Position Algolia’s AI-powered search, generative AI, and agentic capabilities to executive and technical buyers. Develop territory strategies, expand accounts, generate new opportunities, partner with solutions engineering and strategic partners, create proofs of value and ROI analyses, and forecast accurately using MEDDPICC. Fluency in Dutch and English and 5+ years of enterprise SaaS sales experience are required.

Own enterprise sales for Algolia’s AI-powered search and discovery platform across Global 2000 organizations. Manage complex, multi-stakeholder sales cycles, develop territory and account strategies, expand existing accounts, generate new opportunities, and partner with Solutions Engineering on demos, proofs of value, and ROI analyses. Forecast using MEDDPICC, articulate AI and agentic capabilities to technical and executive stakeholders, and collaborate with SDRs, Customer Success, Legal, Marketing, and partners.

Own and grow enterprise sales for Algolia’s AI-powered search and discovery platform. Manage complex, multi-stakeholder sales cycles, build territory and account strategies, generate new opportunities, expand existing accounts, and partner with Solutions Engineering on demos, proofs of value, and ROI analyses. Forecast using MEDDPICC and collaborate with SDRs, Customer Success, Legal, Marketing, and partners to close high-value deals with Global 2000 organizations.

Manage post-go-live customer relationships, drive product adoption and value realization, support retention and expansion, deliver training, and proactively resolve risks and issues. Partner with Account Executives and Solutions Architects on technical implementations, track account metrics, demonstrate ROI, identify churn causes, and provide customer feedback internally. The role requires strong communication, presentation, prioritization, relationship management, and problem-solving skills in a technical SaaS environment.

Build and scale distributed data ingestion services for Algolia’s Connectors Platform. Responsibilities include improving reliability, scalability, throughput, testing, observability, and performance; operating high-traffic production systems; and mentoring teammates. The role works with Go, Kubernetes, Terraform, and Google Cloud to support data connectivity, transformation, and AI enrichment pipelines.

Lead complex customer onboarding programs from sales handoff through production launch. Define implementation plans, governance, milestones, dependencies, risks, and success criteria while coordinating customers, architects, consultants, engineers, and implementation partners. Advise on AI Search, APIs, data, integrations, and technical trade-offs; manage escalations and executive communication; oversee post-launch transitions; and improve onboarding methodologies, tooling, playbooks, and mentoring across the Engagement Management Practice.

Manage post-go-live SaaS customers by driving adoption, value realization, retention, and expansion. Lead product training, provide proactive platform recommendations, coordinate technical implementation requirements, track account metrics, identify churn risks, resolve issues with internal teams, document ROI, and communicate customer feedback. The role partners closely with Account Executives and Solutions Architects while managing customer relationships and engagements to successful completion.

Lead Algolia’s product design organization across its application layer and Satellite design system. Define AI-native design standards for agentic experiences, trust, explainability, human-in-the-loop controls, and non-deterministic states. Own product design strategy, design quality, system governance, and executive partnership with Product, Engineering, and GTM. Build and develop a technical design organization serving developer and business audiences while driving adoption, performance, and customer impact.

Leads Algolia’s product design organization and application-layer experience, including developer onboarding, enterprise agent orchestration, AI-native interaction standards, and the Satellite design system. Owns design vision, quality, accessibility, governance, and measurable customer outcomes. Builds and develops a technical design organization while partnering with Product, Engineering, and GTM executives. Requires extensive product design leadership, shipped AI experiences, technical fluency, design-system expertise, and experience serving developer and business audiences.

Build qualified sales pipeline through outbound prospecting and inbound lead qualification. Research target accounts, identify decision-makers, execute personalized multichannel outreach, and use buyer intent data to prioritize opportunities. Partner with Account Executives, Marketing, ABM, Demand Generation, and partners to support account-based campaigns, events, and webinars. Maintain accurate Salesforce activity records, meet performance goals, share best practices, and contribute to sales enablement.