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Lead US people operations and global HR initiatives, including onboarding, benefits reviews, employee support, HR metrics, systems administration, compliance, and workflow automation. The role manages foundational HR logistics, partners with global People teams, improves employee experiences, and uses AI tools such as Gemini and Claude to streamline processes while protecting sensitive data. It also supports culture-building, training programs, and employee engagement across Dashlane’s international workforce.

Lead revenue enablement for a B2B SaaS go-to-market organization spanning direct sales, customer success, sales development, and channel partners. Build onboarding, training, coaching, playbooks, communications, and product-launch programs. Manage AI-powered enablement technologies, including Gong, Enterpret, Claude, and Mindtickle; develop metrics and dashboards; and partner cross-functionally to improve revenue effectiveness, sales productivity, and adoption of processes and tools.

The Senior Marketing Operations Manager will lead the MarTech stack administration, optimize campaign execution, manage external agencies, and partner with Analytics for automated insights, ensuring streamlined marketing operations.

Lead the Setup & Rollout engineering team delivering enterprise integrations (SSO, SCIM, SIEM, audit logging) and operate Dashlane's confidential computing platform (AWS Nitro Enclaves). Coach and grow senior backend and web-extension engineers, drive technical strategy, collaborate with Product/Design, accelerate AI adoption, and deliver features that impact enterprise revenue, retention, and product security at scale.

Join Dashlane as a Backend Software Engineer, focusing on feature development and improving customer experiences in a collaborative team environment using NodeJS and Typescript.

Lead the Setup & Rollout engineering team owning enterprise integrations (SSO, SCIM, SIEM, audit logging) and confidential computing (AWS Nitro Enclaves). Manage and grow senior backend and web-extension engineers, drive roadmap and engineering strategy, accelerate AI/LLM adoption on secure infrastructure, collaborate with Product and Design, and improve systems, processes, and reliability to support B2B growth and enterprise deployments.

Conduct R&D on web page understanding to build ML-based security features (autofill, phishing detection). Collect and process large datasets, train and deploy models, maintain pipelines, integrate LLM/RAG systems, and collaborate with engineering and product teams to productionize privacy-preserving AI features.

Build and own complex dbt data models, improve data quality and governance, enable self-service analytics, deliver proactive business insights, and implement AI-powered data agents and automation. Partner strategically with Product, Go-to-Market, and business teams while mentoring peers and upskilling stakeholders. The role requires strong SQL and dbt expertise, SaaS business acumen, consultative stakeholder management, and experience integrating GenAI tools into analytics workflows.

Build and own complex dbt data models, transform messy datasets into trusted sources of truth, and partner with Product, Go-to-Market, and business teams to deliver proactive insights. Champion self-service analytics, implement AI data agents and reporting automation, maintain data quality and governance, and mentor junior engineers. The role requires strong SQL, dbt, Python, SaaS business acumen, stakeholder management, and English fluency.

Lead and grow a distributed global IT team of five; act as player-coach while remaining hands-on with infrastructure and escalations. Own core IT stack (Azure/Terraform, Entra SSO/SCIM, Intune, Jamf, GitLab), drive automation and AI adoption, shift IT from reactive to proactive, define roadmap and metrics, manage budget/procurement, and partner closely with security.