Search the 43 jobs at Pipedrive

As a Sales Development Representative, you will perform discovery calls to gather and document prospect information, manage inbound and outbound sales inquiries, identify key prospects, and maintain accurate lead documentation in Pipedrive. You'll work closely with the sales team to foster relationships and understand customer needs.

The Customer Success Manager is responsible for onboarding high-value clients, enhancing user engagement, ensuring customer satisfaction, uncovering upsell opportunities, and acting as a trusted advisor to key stakeholders. This role includes managing relationships, providing tailored solutions, and advocating for client needs within the organization.

The Associate IT Support Engineer will support internal customers by improving endpoint security and managing technical solutions, executing tasks across technologies, helping business users, and creating procedures for better service management. Strong communication and teamwork skills are essential, along with basic technical proficiency in multiple platforms.

As a Data Scientist at Pipedrive, you will leverage advanced analytics to extract insights, collaborate with cross-functional teams, and create models for accurate predictions. You'll help optimize processes and identify opportunities for innovation by understanding business needs and employing machine learning techniques.

The IT Application Engineer is responsible for developing and supporting solutions for finance applications, ensuring compliance with security policies, automating processes, providing internal technical support, and collaborating with stakeholders to deliver effective solutions.

Develop and deliver AI-driven features for Pipedrive, collaborating with design and engineering teams to enhance user experiences. Responsibilities include writing high-quality code, utilizing generative AI techniques, and ensuring scalability of applications.

The IT Application Engineer will develop and support enterprise applications focused on enhancing People and Culture functions. Responsibilities include managing integrations, automating processes for employee lifecycle management, ensuring compliance with policies, and enhancing the employee experience by improving operational efficiencies.

The Senior Product Designer will research, analyze, design, and validate Pipedrive's core experiences across various channels. This role involves user research, creating prototypes, ensuring design consistency, collaborating with engineers, and refining the design language based on user feedback and data analysis.

The Senior Product Data Analyst will analyze product behavioral data, provide insights on product performance, assist in defining data requirements, work on experiments, mentor junior analysts, and communicate findings to stakeholders to inform product strategy.

As a ML Platform Engineer, you'll build and manage the ML platform components and frameworks, ensuring robust support for Data Scientists and ML Engineers. Responsibilities include managing cloud infrastructure on AWS, contributing to processing frameworks, developing ML systems, and managing deployment performance. You will also document frameworks and provide troubleshooting support.

The Senior Product Designer will create user-centered web solutions, collaborate with cross-functional teams, conduct user research, and improve the customer journey through effective design solutions and experimentation.

The Junior Affiliate Partnership Manager will recruit, onboard, and manage partnerships with affiliates and influencers. Responsibilities include evaluating new partnerships, executing promotional campaigns, analyzing data for performance improvement, and optimizing affiliate channel performance within a collaborative team.

As a Marketplace Integration Manager, you'll collaborate with technology partners and ISVs, assess app quality for Pipedrive's Marketplace, analyze trends for optimization, improve team processes, and provide KPIs on app performance while maintaining technical documentation.

The Full Stack Software Engineer will enhance automation tools, manage real-time triggers, collaborate with designers to create user-friendly interfaces, and ensure the Automations feature is fast and reliable. Responsibilities include developing solutions and maintaining high scalability in response to user needs.

The People Operations Partner will manage HR operational activities, oversee the employee lifecycle, maintain employee records, administer benefits, ensure compliance with labor laws, and support employee relations. This role involves data analysis, project participation, and contribution to improving HR processes and employee experience.

The Enterprise Data Architect will lead the development and implementation of Pipedrive's data architecture strategy. Responsibilities include managing data governance practices, collaborating with stakeholders, documenting physical data architecture, and defining data management standards. The role requires technical expertise in aligning architectural decisions with the business needs.

In this role, you will lead the Contactivity tribe at Pipedrive, ensuring engineers thrive, mentoring team members, participating in hiring, driving process improvements, and representing the company externally. You'll define the tribe's vision and goals while fostering a culture of continuous improvement.

As an ML Engineer at Pipedrive, you will work with cross-functional teams to develop, optimize, and deploy machine learning models. Responsibilities include ensuring model performance and compliance and leveraging data-driven approaches to enhance business operations.

As a Senior iOS Developer, you will manage the app lifecycle from ideation to release, ensuring great user experience and empowering the engineering team with both technical and product solutions. You will primarily work with Swift while maintaining some Objective-C code, delivering flawless features through rigorous testing.

The Data Engineer will design and build data pipelines and analytical models, prepare data for visualization tools, monitor performance and code issues, and improve ETL processes. This role requires collaboration with the data engineering team to analyze business problems and ensure effective use of the Data Warehouse.