Jobs at Algolia

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

Leads end-to-end business transformation projects and workstreams, managing scope, schedules, budgets, risks, resources, stakeholders, reporting, and quality. Facilitates cross-functional collaboration across Operations, IT, Finance, vendors, and business teams. Oversees process redesign, systems implementation, organizational change, adoption, stage reviews, go/no-go decisions, and post-implementation lessons learned. Requires strong project governance, communication, change management, and delivery skills across Agile and waterfall environments.

Leads multiple engineering teams and owns delivery, scalability, reliability, and operational excellence for an AI search product area. Partners with Product, Design, and senior technology leaders to shape roadmaps, translate strategy into execution, coach Engineering Managers, and plan organizational growth. The role also drives AI adoption, engineering best practices, stakeholder alignment, and high-performance team culture across a global organization.

Prospect target accounts, identify key contacts, and build qualified pipeline for Enterprise and Commercial sales teams. Develop creative outreach materials such as case studies, screencasts, presentations, and demos. Collaborate with sales colleagues, share best practices, participate in sales development initiatives, and track and report activities and results in Salesforce. The role requires strong communication, technical aptitude, motivation, adaptability, and a proactive, competitive approach.

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.

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.

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.

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 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.

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.

Develop and execute Algolia’s DACH partner strategy across Germany, Austria, and Switzerland. Manage consulting, systems integration, technology, and cloud partnerships; recruit and enable partners; shape agentic AI solutions; coordinate co-selling and co-marketing; and drive pipeline, deal registration, account mapping, and revenue growth. The role requires technical fluency in APIs, AI, cloud, and SaaS without owning implementation, plus cross-functional leadership and strong German and English communication skills.

Own and grow a portfolio of existing B2B SaaS customers by driving renewals, retention, upsells, and cross-sells. Build trusted relationships with decision-makers, lead pricing and commercial discussions, develop account plans, monitor customer health, manage forecasts, and collaborate with Customer Success, Solutions Engineering, and Support teams. The role focuses on consultative account management for Algolia’s search and discovery platform across Dutch, Nordic, and broader commercial markets.

Develop and execute Algolia’s DACH partner strategy, managing consulting, systems integration, technology, and cloud partnerships across Germany, Austria, and Switzerland. Recruit and enable partners, shape AI-driven and agentic solutions, coordinate co-selling and co-marketing, manage deal registration and account mapping, and drive pipeline, revenue, and customer wins. The role requires technical fluency in APIs, AI, cloud, and SaaS without hands-on implementation, plus collaboration with sales, marketing, engineering, product, and enablement teams.

Develop and execute Algolia’s DACH partner strategy across Germany, Austria, and Switzerland. Manage consulting, systems integration, technology, and cloud partner relationships; recruit and enable new partners; shape AI and agentic solutions; coordinate co-selling, co-marketing, deal registration, and account mapping; and drive pipeline, revenue, and customer wins. The role requires strong technical fluency, German and English fluency, Salesforce experience, strategic relationship management, and cross-functional leadership.