Enterprise SaaS Customer Success Lead (Remote - EU/UK)

Medboard; Alicante; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Real ownership

Career development

Competitive salary

Performance packages

Descripción de la vacante

MedBoard in Alicante/Valencia, Spain is seeking a Customer Success Lead (remote in UK/EU) to own and scale the CS function across our SaaS platform for regulated life sciences customers. You will drive adoption, retention, and expansion while partnering with Sales, Product, and Support.

The role emphasizes leadership, stakeholder management, and a hands-on approach in a fast-paced environment, with a focus on applying AI to boost productivity and patient outcomes.

Formación

• 2–4+ years in Customer Success leadership in enterprise B2B SaaS.
• Strong executive communication and stakeholder management.
• Autonomous, proactive, and capable of leading customer-facing work.
• Experience with regulated or complex industries.
• Interest in applying AI to improve productivity.

Responsabilidades

• Own the customer success function end-to-end for the SaaS base.
• Drive retention, expansion and customer value in enterprise accounts.
• Collaborate with Sales, Product and Support to deliver outcomes.
• Be the voice of the customer and build scalable CS processes.
• Lead a role and team in a fast-paced environment.

Conocimientos

Customer Success Leadership

Executive-level Communication

Stakeholder Management

Enterprise SaaS

AI in productivity

Educación

Bachelor's degree in Business/Marketing/Communications/Healthcare Management

Descripción del empleo

MedBoard in Alicante/Valencia, Spain is seeking a Customer Success Lead (remote in UK/EU) to own and scale the CS function across our SaaS platform for regulated life sciences customers. You will drive adoption, retention, and expansion while partnering with Sales, Product, and Support.

The role emphasizes leadership, stakeholder management, and a hands-on approach in a fast-paced environment, with a focus on applying AI to boost productivity and patient outcomes.