Jobs at Algolia

Design and develop ranking and understanding features for search relevance. Build and maintain production pipelines and API services handling large datasets and high traffic. Collaborate with frontend and ML specialists, ensure code quality, automated testing, and reliability. Operate on major cloud providers and apply data-driven decisions to improve search relevance and user experience.

Define the multi-year technical vision for Algolia’s frontend platform and lead architecture across the Dashboard, shared component libraries, public SDKs, and frontend products. Design scalable, highly available, performant solutions; establish API, versioning, compatibility, and engineering standards; drive cross-team adoption; and mentor engineers. The role requires deep frontend expertise alongside full-stack understanding, with an interest in conversational and agentic interfaces.

Manage marketing operations supporting global digital and field campaigns. Responsibilities include maintaining Marketo lead lifecycle processes, configuring Salesforce and Marketo campaigns, building audiences and nurture programs, monitoring data quality and email overlap, managing privacy compliance, maintaining forms and templates, importing lists, and coordinating Agile Scrum work with stakeholders.

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.

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.

Own and grow a portfolio of existing B2B SaaS customers by driving renewals, retention, upsells, and cross-sells. Build relationships with decision-makers, lead pricing and commercial discussions, monitor account health, manage forecasts, and identify expansion opportunities. Partner with Customer Success, Solutions Engineering, Support, and other teams to resolve customer needs and maximize platform value.

Build and operate production infrastructure for AI workloads, focusing on Kubernetes, cloud platforms, CI/CD, Infrastructure as Code, observability, reliability, networking, databases, and incident response. Improve automation, deployment workflows, developer experience, capacity management, and system reliability while participating in on-call operations and progressively owning broader production systems.

Build and optimize scalable platform infrastructure for Algolia’s PaaS team. Responsibilities include developing CI/CD pipelines, enhancing observability, operating Kubernetes and cloud infrastructure, improving system reliability and scalability, optimizing costs, mentoring engineers, and collaborating across product and engineering teams. The role also involves modernizing legacy systems, troubleshooting production issues, and contributing to long-term infrastructure strategy.

Own and evolve reliable, scalable production infrastructure for AI workloads. Design and operate Kubernetes and cloud-native platforms, improve observability, SLOs, CI/CD, networking, databases, automation, and cost efficiency. Lead complex incident investigations, drive architectural improvements, participate in on-call response, and mentor engineers. The role requires strong experience with a major cloud provider, Kubernetes, distributed systems, reliability engineering, and business-critical production systems.

Build and operate Algolia’s cloud-native production infrastructure, including AWS or GCP foundations, Kubernetes platforms, infrastructure as code, automation, observability, security, and lifecycle operations. Develop self-service platform capabilities, reduce manual work and configuration drift, investigate production issues, participate in on-call rotations, and collaborate across Infrastructure, Security, FinOps, and engineering teams.

Lead the design, automation, and operation of cloud infrastructure and Kubernetes platforms at scale. Build cloud baselines, lifecycle automation, security guardrails, self-service workflows, cost controls, and reliable production operations. Drive infrastructure standardization, migrations, upgrades, and drift reduction while mentoring engineers and participating in on-call support.

Own and grow a portfolio of existing B2B SaaS customers by driving retention, renewals, upsells, and cross-sells. Build relationships with decision-makers, lead pricing and commercial discussions, monitor account health, manage forecasts, and align Algolia’s search platform with customer goals. Collaborate with Customer Success, Solutions Engineering, Support, and Renewal teams to address risks, improve adoption, and deliver customer value.

Design and develop scalable Search and Indexing systems, operate distributed production infrastructure, participate in an out-of-hours on-call rotation, maintain system quality, troubleshoot high-impact issues, and collaborate across teams. The role requires experience with distributed systems, large datasets, high traffic, automated testing, engineering best practices, and Kubernetes. Go experience is preferred.

Own and execute Algolia’s APAC partner strategy across consulting, systems integration, technology, and cloud partners. Recruit, onboard, enable, and manage partners while shaping agentic AI solutions that incorporate Algolia. Drive joint go-to-market activities, co-selling, co-marketing, deal registration, account mapping, pipeline creation, opportunity progression, and customer wins. Collaborate with sales, solutions engineering, marketing, product, engineering, and regional leadership to align partner initiatives with revenue goals.