Pipedrive
Pipedrive builds a cloud-based sales CRM for small businesses and revenue teams to manage pipelines, track deals, and automate outreach. It sells its product as a subscription SaaS platform with integrations and add-ons for email, marketing, and reporting. Founded in 2010 and headquartered in New York, Pipedrive is majority-owned by Vista Equity Partners and is used by over 100,000 companies in 179 countries.
Open Positions at Pipedrive
6 open positions
Lead the technical strategy and delivery of AI/ML products for Pipedrive’s AI-native CRM, combining scientific rigor with production-focused engineering. You will lead and mentor Applied Scientists and AI/ML Engineers while building agentic workflows, reasoning engines, and scalable data-driven systems.
Principal Security Engineer responsible for building and architecting security systems, automation, and AI security controls across Pipedrive’s SaaS platform and corporate environment. The role combines hands-on security engineering, incident leadership, technical mentorship, and advisory partnership across the business.
Pipedrive is seeking a Principal Security Engineer to architect and build automated security systems for its SaaS platform, cloud environments, corporate operations, and AI initiatives. The role combines security engineering, AI security architecture, incident leadership, and technical mentorship.
Principal Security Engineer responsible for architecting and building scalable security systems for Pipedrive’s SaaS platform, cloud infrastructure, and AI initiatives. The role combines security automation, AI security architecture, incident leadership, and technical mentorship.
Lead the technical strategy and delivery of AI/ML products for an AI-native CRM, combining scientific rigor with hands-on production engineering. You will build agentic workflows and real-time reasoning systems while mentoring a growing team of Applied Scientists and AI/ML Engineers.
Pipedrive is seeking a Principal AI/ML Scientist & Engineer to lead a team and build production-grade AI systems, including agentic workflows and real-time reasoning engines. The role combines scientific rigor, hands-on technical leadership, and business-focused delivery at scale.