Jobs at Pipedrive

Manage Pipedrive's paid search accounts, focusing on campaign performance, experimentation, account hygiene, and collaboration with marketing for demand generation.

The SEM Analyst will enhance SEM performance through reporting, analysis, and campaign management, generating actionable insights from data alongside marketing efforts.

The Principal Product Manager will lead the Agentic AI experiences and platform capabilities, collaborating across teams to define product vision and requirements, ensuring operational scalability and customer value.

Lead a team to drive user growth through design and experimentation, focusing on user acquisition, retention, and leveraging AI-driven methodologies.

The Director of R&D Operations will enhance the collaboration between Product, Engineering, and Design teams, focusing on operational workflows, resource allocation, and strategic alignment to drive R&D performance and outcomes.

The Paid Social Lead will manage and scale paid social channels, overseeing strategy, creative testing, and collaboration with data science and marketing teams to enhance Pipedrive's social media effectiveness.

The Director of Product Analytics leads analytics functions to optimize product performance and growth through behavioral insights, team management, and strategic data frameworks. Responsibilities include experimentation, stakeholder collaboration, and data-driven decision support while exploring AI solutions.

Provide strategic, hands-on leadership for AI-native product design: define 0-1 design strategy, lead and grow a team of 11 designers, partner with Product/Engineering/Marketing/Data, champion user research and experimentation, and deliver measurable business impact.

The Principal Marketing Analyst will develop analytics frameworks to drive growth by translating data into actionable insights, collaborating with marketing and finance teams, and optimizing marketing strategies.

Lead and mentor a team of AI/ML Engineers, developing production-grade AI solutions that extract value from structured and unstructured data, with a focus on customer-centric performance.