Jobs at Docebo

Manage enterprise customer relationships for Docebo’s AI-powered LMS. Serve as a strategic advisor, drive platform adoption, translate technical capabilities into business outcomes, protect retention, identify expansion opportunities, lead escalations, and collaborate cross-functionally. The role also involves developing customer advocacy through case studies, reviews, and referrals, while managing complex B2B SaaS portfolios and traveling up to 25% for client visits and events.

Lead reliability engineering for critical product services by defining SLIs and SLOs, managing incident response, architecting scalable cloud platforms, improving observability, and driving safe deployments. The role influences system architecture, mentors engineers, supports recruiting, and advances reliability standards across a multi-tenant SaaS environment. Candidates should bring substantial SRE, DevOps, or production engineering experience with expertise in distributed systems, cloud infrastructure, automation, and incident management.

Safeguard Docebo’s SaaS security posture by responding to customer security requests, managing questionnaires and corrective action plans, supporting audits and compliance assessments, partnering with legal on agreements and data processing addendums, automating compliance workflows, maintaining trust-page documentation, and evaluating third-party vendor risk. The role requires expertise in cloud security, privacy regulations, security frameworks, governance platforms, and customer-facing communication.

Manage enterprise SaaS customer relationships as a trusted advisor, drive adoption of the Docebo LMS, translate business goals into platform strategies, and support renewals, retention, upsell, and cross-sell opportunities. Partner with internal teams, manage stakeholder relationships, provide configuration and product guidance, and develop customer advocacy through case studies and referrals.

Design, manage, and improve Docebo's cloud infrastructure for high availability, security, and scalability. Implement automation and IaC, support service releases, monitor performance with Datadog, troubleshoot cloud issues, and lead infrastructure projects in collaboration with engineering teams.

Founding Forward Deployed Engineer who partners with enterprise customers to identify AI opportunities, design and deploy autonomous agents, and convert custom solutions into scalable platform capabilities. The role owns the full lifecycle from discovery and architecture through production deployment, monitoring, and optimization. It also establishes FDE processes, playbooks, team culture, technical roadmaps, and cross-functional operating practices.

Own product features end to end, from discovery and technical design through deployment and iteration. Build across frontend applications, APIs, backend services, and integrations while contributing expertise in either frontend or backend engineering. Partner with Product, Design, QA, and Engineering to make scalable technical decisions, improve testing and delivery practices, and support production software. Mentor engineers through reviews, pairing, technical discussions, and knowledge sharing.

Build and maintain cloud-based ELT/ETL pipelines using dbt, Airflow, and Cloud Composer. Develop data ingestion and transformation jobs, implement data quality tests, monitor alerts, maintain lakehouse schemas across Snowflake, BigQuery, and Databricks, document data assets, and collaborate with analytics and data science teams. The role requires strong SQL, foundational Python and Git knowledge, and 2–3 years of relevant experience.

Own the Paris office workplace experience, including daily operations, hospitality, employee engagement, events, facilities, vendors, supplies, security access, budgeting, space planning, and office projects. Build strong relationships with employees, leaders, landlords, and global partners while adapting company-wide programs locally. Gather feedback and continuously improve the office environment. Requires fluent French and English, strong organization, event expertise, and independent workplace, facilities, hospitality, or employee experience management.

Build and maintain cloud-based ELT/ETL pipelines using dbt, Airflow, and Cloud Composer. Implement data transformations, ingestion workflows, quality tests, monitoring, and troubleshooting. Maintain schemas and lakehouse structures across Snowflake, BigQuery, and Databricks. Document pipelines and collaborate with analytics and data science teams to deliver optimized, reliable data structures.

Lead complex enterprise software implementations from discovery through delivery, managing client relationships, project scope, schedules, resources, risks, KPIs, executive communication, and cross-functional coordination. Partner with Product, Development, and external teams to resolve blockers, oversee technical progress, and support customer enablement. The role also contributes to PMO process improvements, mentors junior project managers, and requires up to 15% client travel.

Lead end-to-end product design for complex enterprise training workflows spanning scheduling, approvals, resource tracking, conflict resolution, and AI assistance. Translate ambiguous operational challenges into clear problem statements, workflow maps, prototypes, and polished interaction designs. Partner with Product, Engineering, and Design Systems teams to ensure accessibility, reusable patterns, and technical feasibility. Use research, analytics, AI tools, and iterative testing to create effective B2B SaaS experiences.

Supports US, Canadian, and global benefits administration, including enrollment, onboarding, leave tracking, accommodations, employee inquiries, carrier billing reconciliation, and payroll deduction accuracy. Assists with international benefits data projects and company-wide wellbeing communications. Uses Excel, Google Sheets, Dayforce, and AI tools to maintain accurate records, streamline processes, and support employees. This entry-level contract role offers mentorship and potential extension or permanent placement.

Lead reliability engineering for critical SaaS services by defining SLOs, managing major incidents, improving observability, architecting scalable infrastructure, advancing deployment safety, and mentoring engineers. The role partners with engineering and product leaders to balance feature delivery with system resilience, while driving reliability standards, automation, and recruiting across the SRE organization.

Design, build, and operate scalable backend automation systems using Go and PHP. Lead multi-sprint technical initiatives, architect resilient services, conduct code reviews, define SLOs, troubleshoot critical issues, mentor engineers, and collaborate with Product and Design. The role requires expertise in AWS, Kubernetes, distributed systems, databases, observability, and enterprise-scale software delivery.

Own the external API roadmap and integration ecosystem, including REST APIs, webhooks, Connect tooling, and developer experience. Lead platform strategy, integration standards, documentation, partner governance, adoption metrics, and executive dashboards. Collaborate with Engineering, Marketing, and Sales on build-buy-partner decisions, go-to-market enablement, and enterprise deals. The role requires strong API design, technical research, developer empathy, and expertise in OAuth 2.0, SAML, SCIM, and middleware.

Own the technical relationship for enterprise SaaS customers, translating business and e-learning goals into scalable platform strategies. Advise executives on integrations, APIs, authentication, AI workflows, and platform performance; monitor usage and stability metrics; lead technical reviews; conduct proof-of-concept pilots; and drive platform improvements. The role requires 5+ years of SaaS troubleshooting experience, enterprise account management, technical integration expertise, and up to 25% international travel.

Senior Legal Counsel will advise leadership and cross-functional teams on global commercial legal matters. Responsibilities include negotiating SaaS agreements, vendor contracts, NDAs, partnerships, and privacy terms; improving legal workflows; assessing contractual and regulatory risks; supporting RFPs, tenders, and M&A due diligence; and delivering compliance training. The role requires substantial SaaS, technology, data privacy, negotiation, and stakeholder-management experience.

Defines architectural standards, leads complex end-to-end product initiatives, shapes product strategy, and advances AI-assisted engineering practices. Improves CI/CD, observability, testing, scalability, and operational reliability while partnering with customers and stakeholders. Uses product analytics and experimentation to measure impact, mentors engineers, and drives technical alignment across teams without direct authority.

Design, implement, deploy, and maintain scalable SaaS software primarily using PHP. Collaborate with product, UX, and QA teams; participate in code reviews, refactoring, Agile ceremonies, automated testing, CI/CD, and production troubleshooting. The role may also support Angular frontend development and requires ownership from concept through global deployment.